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https://bytez.com/docs/arxiv/1807.09534/paper Conditional Information Gain Networks | Read Paper on Bytez Jul 25, 2018 - Deep neural network models owe their representational power to the high number of learnable parameters. It is often infeasible to run these largely... information gain read paper conditional networks bytez https://bytez.com/docs/arxiv/1810.09206/paper Multi-Agent Actor-Critic with Generative Cooperative Policy Network | Read Paper on Bytez Oct 22, 2018 - We propose an efficient multi-agent reinforcement learning approach to derive equilibrium strategies for multi-agents who are participating in a Markov game.... https://bytez.com/docs/arxiv/1807.00263/paper Accurate Uncertainties for Deep Learning Using Calibrated Regression | Read Paper on Bytez Jul 1, 2018 - Methods for reasoning under uncertainty are a key building block of accurate and reliable machine learning systems. Bayesian methods provide a general... deep learning https://bytez.com/docs/arxiv/1807.09601/paper Linear Span Network for Object Skeleton Detection | Read Paper on Bytez Jul 25, 2018 - Robust object skeleton detection requires to explore rich representative visual features and effective feature fusion strategies. In this paper, we first... read paper linear span network object https://bytez.com/docs/arxiv/1812.01339/paper Self-Guided Belief Propagation -- A Homotopy Continuation Method | Read Paper on Bytez Dec 4, 2018 - This paper introduces a new method called self-guided belief propagation (SBP) for analyzing complex systems using probability, especially where traditional... self guided belief propagation https://bytez.com/docs/arxiv/1812.01662/paper Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations | Read Paper on Bytez Dec 4, 2018 - Basic binary relations such as equality and inequality are fundamental to relational data structures. Neural networks should learn such relations and... https://bytez.com/docs/arxiv/1812.06791/paper An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning | Read Paper on Bytez Dec 14, 2018 - Agent-based Internet of Things (IoT) applications have recently emerged as applications that can involve sensors, wireless devices, machines and software that... https://bytez.com/docs/arxiv/1809.09332/paper Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction | Read Paper on Bytez Sep 25, 2018 - Multiagent reinforcement learning (MARL) is commonly considered to suffer from non-stationary environments and exponentially increasing policy space. It would... reinforcement learning https://bytez.com/docs/neurips/72742?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D Synthetic Experience Replay | Read Paper on Bytez Sep 21, 2023 - SYNTHER is a new method that helps improve how robots learn from their experiences in reinforcement learning, which is a way for them to learn by trying things... read paper synthetic experience replay bytez https://bytez.com/docs/arxiv/1809.02652/paper Are You Sure You Want To Do That? Classification with Verification | Read Paper on Bytez Sep 7, 2018 - The 2018 paper "Are You Sure You Want To Do That? Classification with Verification" talks about making sure that when computers make decisions, they can check... https://bytez.com/docs/arxiv/1808.03738/paper Ancient-Modern Chinese Translation with a Large Training Dataset | Read Paper on Bytez Aug 11, 2018 - Ancient Chinese brings the wisdom and spirit culture of the Chinese nation. Automatic translation from ancient Chinese to modern Chinese helps to inherit and... https://bytez.com/docs/arxiv/1901.05686/paper Image Enhancement Network Trained by Using HDR images | Read Paper on Bytez Jan 17, 2019 - The paper presents a method to improve pictures taken in low light by training a special network using high dynamic range (HDR) images. This helps the network... image enhancement https://www.debuggedbytez.com/insights/the-future-of-web-development-trends-and-technologies-to-watch The Future of Web Development: Trends and Technologies to Watch - DeBugged Bytez Affordable website design and development. Free consultations available with 24/7 support. We look forward to turning your digital vision into reality - one... the future of web development trends https://bytez.com/docs/arxiv/1809.07889/paper Predicting the Argumenthood of English Prepositional Phrases | Read Paper on Bytez Sep 20, 2018 - Distinguishing between arguments and adjuncts of a verb is a longstanding, nontrivial problem. In natural language processing, argumenthood information is... prepositional phrases read paper predicting english https://bytez.com/docs/arxiv/1901.07300/paper Modal clustering asymptotics with applications to bandwidth selection | Read Paper on Bytez Jan 22, 2019 - Density-based clustering relies on the idea of linking groups to some specific features of the probability distribution underlying the data. The reference to a... modal clustering https://bytez.com/docs/arxiv/1808.06638/paper Supervised Kernel PCA For Longitudinal Data | Read Paper on Bytez Aug 20, 2018 - In statistical learning, high covariate dimensionality poses challenges for robust prediction and inference. To address this challenge, supervised dimension... longitudinal data read paper supervised kernel pca https://bytez.com/docs/arxiv/1807.01996/paper A Formal Ontology-Based Classification of Lexemes and its Applications | Read Paper on Bytez Jul 4, 2018 - The paper describes the enrichment of OntoSenseNet - a verb-centric lexical resource for Indian Languages. A major contribution of this work is preservation of... https://bytez.com/docs/neurips/71556?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D NAP: Neural 3D Articulated Object Prior | Read Paper on Bytez Sep 21, 2023 - The paper introduces a new method called Neural 3D Articulated object Prior (NAP) that can create 3D models of objects that can move, like toys or machines.... read paper nap neural articulated object https://bytez.com/docs/arxiv/1811.02798/paper Multi-Task Graph Autoencoders | Read Paper on Bytez Nov 7, 2018 - We examine two fundamental tasks associated with graph representation learning: link prediction and node classification. We present a new autoencoder... multi task read paper graph autoencoders bytez https://bytez.com/docs/arxiv/1811.12362/paper Sym-parameterized Dynamic Inference for Mixed-Domain Image Translation | Read Paper on Bytez Nov 29, 2018 - Recent advances in image-to-image translation have led to some ways to generate multiple domain images through a single network. However, there is still a... https://bytez.com/docs/arxiv/1808.01595/paper Spherical Harmonic Residual Network for Diffusion Signal Harmonization | Read Paper on Bytez Aug 5, 2018 - Diffusion imaging is an important method in the field of neuroscience, as it is sensitive to changes within the tissue microstructure of the human brain.... https://bytez.com/docs/arxiv/1808.09935/paper Attention-based Neural Text Segmentation | Read Paper on Bytez Aug 29, 2018 - Text segmentation plays an important role in various Natural Language Processing (NLP) tasks like summarization, context understanding, document indexing and... neural text read paper attention based segmentation https://bytez.com/docs/arxiv/1807.01544/paper TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes | Read Paper on Bytez Jul 4, 2018 - Driven by deep neural networks and large scale datasets, scene text detection methods have progressed substantially over the past years, continuously... https://bytez.com/docs/icml/46418?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D Learning Extrapolative Sequence Transformations from Markov Chains | Read Paper on Bytez Jul 16, 2025 - The paper talks about improving how computers can create new and better sequences, like protein designs or written reviews, by learning from past sequences... markov chains read paper learning sequence transformations https://bytez.com/docs/arxiv/1809.01826/paper Connecting Image Denoising and High-Level Vision Tasks via Deep Learning | Read Paper on Bytez Sep 6, 2018 - Image denoising and high-level vision tasks are usually handled independently in the conventional practice of computer vision, and their connection is fragile.... https://bytez.com/docs/arxiv/1810.02513/paper Learning To Simulate | Read Paper on Bytez Oct 5, 2018 - Simulation is a useful tool in situations where training data for machine learning models is costly to annotate or even hard to acquire. In this work, we... read paper learning simulate bytez https://bytez.com/docs/arxiv/1809.09978/paper Satellite Imagery Multiscale Rapid Detection with Windowed Networks | Read Paper on Bytez Sep 25, 2018 - The 2018 paper "Satellite Imagery Multiscale Rapid Detection with Windowed Networks" discusses a method for quickly identifying features in satellite images... satellite imagery rapid detection https://bytez.com/docs/arxiv/1810.02294/paper Markov Properties of Discrete Determinantal Point Processes | Read Paper on Bytez Oct 4, 2018 - Determinantal point processes (DPPs) are probabilistic models for repulsion. When used to represent the occurrence of random subsets of a finite base set, DPPs... read paper markov properties discrete https://bytez.com/docs/arxiv/1808.09144/paper Weighted total variation based convex clustering | Read Paper on Bytez Aug 28, 2018 - Data clustering is a fundamental problem with a wide range of applications. Standard methods, eg the $k$-means method, usually require solving a non-convex... read paper weighted total variation based https://bytez.com/docs/icml/45312?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D Blink of an eye: a simple theory for feature localization in generative models | Read Paper on Bytez Jul 16, 2025 - This paper discusses how large language models (like chatbots) can suddenly change their behavior, which can lead to mistakes, such as giving wrong answers or... https://bytez.com/docs/arxiv/1811.04351/paper Generalization Bounds for Vicinal Risk Minimization Principle | Read Paper on Bytez risk minimization read paper generalization bounds https://bytez.com/docs/arxiv/1812.07019/paper Malthusian Reinforcement Learning | Read Paper on Bytez Dec 17, 2018 - Here we explore a new algorithmic framework for multi-agent reinforcement learning, called Malthusian reinforcement learning, which extends self-play to... reinforcement learning read paper bytez https://docs.bytez.com/model-api/docs/task/text-to-audio text-to-audio - Bytez Send a text input to generate an audio output text to audio bytez https://bytez.com/docs/arxiv/1812.07110/paper Retinal vessel segmentation based on Fully Convolutional Neural Networks | Read Paper on Bytez Dec 18, 2018 - The retinal vascular condition is a reliable biomarker of several ophthalmologic and cardiovascular diseases, so automatic vessel segmentation may be crucial... convolutional neural networks https://bytez.com/docs/arxiv/1808.08573/paper Analyzing Learned Representations of a Deep ASR Performance Prediction Model | Read Paper on Bytez Aug 26, 2018 - This paper addresses a relatively new task: prediction of ASR performance on unseen broadcast programs. In a previous paper, we presented an ASR performance... https://bytez.com/docs/arxiv/1807.10025/paper Towards Optimal Power Control via Ensembling Deep Neural Networks | Read Paper on Bytez Jul 26, 2018 - A deep neural network (DNN) based power control method is proposed, which aims at solving the non-convex optimization problem of maximizing the sum rate of a... deep neural networks https://bytez.com/docs/arxiv/1808.09293/paper A Summary Description of the A2RD Project | Read Paper on Bytez Aug 26, 2018 - This paper describes the Autonomous Architecture Over Restricted Domains project. It begins with the description of the context upon which the project is... a summary of the project read description https://bytez.com/docs/arxiv/1901.06543/paper MOROCO: The Moldavian and Romanian Dialectal Corpus | Read Paper on Bytez Jan 19, 2019 - In this work, we introduce the MOldavian and ROmanian Dialectal COrpus (MOROCO), which is freely available for download at... read paper moroco moldavian romanian https://bytez.com/docs/arxiv/1808.09419/paper Identifying Well-formed Natural Language Questions | Read Paper on Bytez Aug 28, 2018 - Understanding search queries is a hard problem as it involves dealing with "word salad" text ubiquitously issued by users. However, if a query resembles a... natural language read paper identifying well formed https://bytez.com/docs/arxiv/1811.00944/paper Spectral Methods from Tensor Networks | Read Paper on Bytez Nov 2, 2018 - A tensor network is a diagram that specifies a way to "multiply" a collection of tensors together to produce another tensor (or matrix). Many existing... spectral methods tensor networks read paper bytez https://bytez.com/docs/arxiv/1812.06861/paper Taking a Deeper Look at the Inverse Compositional Algorithm | Read Paper on Bytez Dec 17, 2018 - In this paper, we provide a modern synthesis of the classic inverse compositional algorithm for dense image alignment. We first discuss the assumptions made by... a deeper look https://bytez.com/docs/arxiv/1811.03717/paper Fast determinantal point processes via distortion-free intermediate sampling | Read Paper on Bytez https://bytez.com/docs/arxiv/1808.08308/paper ParaNet - Using Dense Blocks for Early Inference | Read Paper on Bytez Aug 24, 2018 - DenseNets have been shown to be a competitive model among recent convolutional network architectures. These networks utilize Dense Blocks, which are groups of... read paper paranet using dense blocks https://bytez.com/docs/arxiv/1812.04562/paper Doubly Bayesian Optimization | Read Paper on Bytez Dec 11, 2018 - Probabilistic programming systems enable users to encode model structure and naturally reason about uncertainties, which can be leveraged towards improved... bayesian optimization read paper bytez https://bytez.com/docs/arxiv/1812.01429/paper Automatic salt deposits segmentation: A deep learning approach | Read Paper on Bytez Nov 21, 2018 - One of the most important applications of seismic reflection is the hydrocarbon exploration which is closely related to salt deposits analysis. This problem is... deep learning https://bytez.com/docs/arxiv/1810.03963/paper DSVO: Direct Stereo Visual Odometry | Read Paper on Bytez Sep 19, 2018 - The 2018 paper "DSVO: Direct Stereo Visual Odometry" presents a method for determining a camera's movement in space using images from two cameras. This... read paper direct stereo visual odometry https://bytez.com/docs/arxiv/1808.00995/paper What Goes Where: Predicting Object Distributions from Above | Read Paper on Bytez Aug 2, 2018 - In this work, we propose a cross-view learning approach, in which images captured from a ground-level view are used as weakly supervised annotations for... what goes where https://bytez.com/docs/arxiv/1810.06693/paper Lesion Focused Super-Resolution | Read Paper on Bytez Oct 15, 2018 - Super-resolution (SR) for image enhancement has great importance in medical image applications. Broadly speaking, there are two types of SR, one requires... super resolution read paper focused bytez https://bytez.com/docs/arxiv/1901.00256/paper Geometry and Symmetry in Short-and-Sparse Deconvolution | Read Paper on Bytez in short read paper geometry symmetry https://bytez.com/docs/arxiv/1807.11139/paper Causal Modeling with Probabilistic Simulation Models | Read Paper on Bytez Jul 30, 2018 - Recent authors have proposed analyzing conditional reasoning through a notion of intervention on a simulation program, and have found a sound and complete... causal modeling simulation models read paper probabilistic bytez https://bytez.com/docs/cvpr/32680?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D MotionPro: A Precise Motion Controller for Image-to-Video Generation | Read Paper on Bytez Jun 15, 2025 - MotionPro is a new tool for creating videos from images, allowing precise control over how the motion looks. Unlike older methods that used large blurry... https://bytez.com/docs/arxiv/1811.01480/paper FairMod - Making Predictive Models Discrimination Aware | Read Paper on Bytez Nov 5, 2018 - Predictive models such as decision trees and neural networks may produce discrimination in their predictions. This paper proposes a method to post-process the... predictive models read paper making discrimination aware https://bytez.com/docs/arxiv/1901.08755/paper SecureBoost: A Lossless Federated Learning Framework | Read Paper on Bytez Jan 25, 2019 - The protection of user privacy is an important concern in machine learning, as evidenced by the rolling out of the General Data Protection Regulation (GDPR) in... federated learning read paper lossless framework bytez https://bytez.com/docs/arxiv/1808.04303/paper Rank-1 Convolutional Neural Network | Read Paper on Bytez Aug 13, 2018 - In this paper, we propose a convolutional neural network(CNN) with 3-D rank-1 filters which are composed by the outer product of 1-D filters. After being... convolutional neural network read paper rank bytez https://bytez.com/docs/arxiv/1807.09154/paper QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition | Read Paper on Bytez Jul 24, 2018 - This paper introduces a new method called QUEST for recognizing facial expressions. It uses a special technique to analyze the small changes in facial features... facial expression recognition https://bytez.com/docs/cvpr/33285?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting | Read Paper on Bytez Jun 15, 2025 - SelfSplat is a new method for creating 3D images from regular photos taken from different angles. Unlike older methods, it doesn't need special camera setups... https://bytez.com/docs/arxiv/1807.08652/paper Understanding the Modeling of Computer Network Delays using Neural Networks | Read Paper on Bytez Jul 23, 2018 - Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be... https://bytez.com/docs/arxiv/1806.11555/paper High-Performance Parallel Implementation of Genetic Algorithm on FPGA | Read Paper on Bytez Jun 20, 2018 - Genetic Algorithms (GAs) are used to solve search and optimization problems in which an optimal solution can be found using an iterative process with... high performance genetic algorithm https://bytez.com/docs/arxiv/1807.06756/paper SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities | Read Paper on Bytez Jul 18, 2018 - The detection of software vulnerabilities (or vulnerabilities for short) is an important problem that has yet to be tackled, as manifested by the many... https://bytez.com/docs/arxiv/1809.05717/paper Multi-Scale Deep Compressive Sensing Network | Read Paper on Bytez Sep 15, 2018 - With joint learning of sampling and recovery, the deep learning-based compressive sensing (DCS) has shown significant improvement in performance and running... read paper multi scale deep sensing https://bytez.com/docs/arxiv/1809.02963/paper Variational Approximation Error in Bayesian Non-negative Matrix Factorization | Read Paper on Bytez Sep 9, 2018 - Non-negative matrix factorization (NMF) is a knowledge discovery method that is used in many fields. Variational inference and Gibbs sampling methods for it... https://bytez.com/docs/arxiv/1812.03503/paper Adversarial Sparse-View CBCT Artifact Reduction | Read Paper on Bytez Dec 9, 2018 - We present an effective post-processing method to reduce the artifacts from sparsely reconstructed cone-beam CT (CBCT) images. The proposed method is based on... artifact reduction read paper adversarial sparse view https://bytez.com/docs/arxiv/1811.01316/paper Nonlinear Collaborative Scheme for Deep Neural Networks | Read Paper on Bytez Nov 4, 2018 - Conventional research attributes the improvements of generalization ability of deep neural networks either to powerful optimizers or the new network design.... deep neural networks read paper nonlinear collaborative scheme https://bytez.com/docs/arxiv/1808.00033/paper Techniques for Interpretable Machine Learning | Read Paper on Bytez Jul 31, 2018 - Interpretable machine learning tackles the important problem that humans cannot understand the behaviors of complex machine learning models and how these... machine learning read paper techniques bytez https://bytez.com/docs/arxiv/1812.00893/paper Domain Alignment with Triplets | Read Paper on Bytez Dec 3, 2018 - Deep domain adaptation methods can reduce the distribution discrepancy by learning domain-invariant embedddings. However, these methods only focus on aligning... read paper domain alignment triplets bytez https://bytez.com/docs/arxiv/1810.00029/paper Minimization of Gini impurity via connections with the k-means problem | Read Paper on Bytez Sep 28, 2018 - The Gini impurity is one of the measures used to select attribute in Decision Trees/Random Forest construction. In this note we discuss connections between the... https://bytez.com/docs/arxiv/1901.08021/paper Robust Temporal Difference Learning for Critical Domains | Read Paper on Bytez Jan 23, 2019 - We present a new Q-function operator for temporal difference (TD) learning methods that explicitly encodes robustness against significant rare events (SRE) in... read paper robust temporal difference learning https://bytez.com/docs/arxiv/1811.00606/paper DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval | Read Paper on Bytez Nov 1, 2018 - Most neural Information Retrieval (Neu-IR) models derive query-to-document ranking scores based on term-level matching. Inspired by TileBars, a classical term... https://bytez.com/docs/arxiv/1812.09380/paper A Fuzzy Community-Based Recommender System Using PageRank | Read Paper on Bytez Dec 18, 2018 - Recommendation systems are widely used by different user service providers specially those who have interactions with the large community of users. This paper... community based recommender system https://bytez.com/docs/arxiv/1811.10508/paper Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation | Read Paper on Bytez Nov 26, 2018 - This 2018 paper presents a method to make it easier to label 2D images so that computers can better understand 3D shapes in pictures. By focusing on 2D images,... https://bytez.com/docs/arxiv/1810.08591/paper A Modern Take on the Bias-Variance Tradeoff in Neural Networks | Read Paper on Bytez Oct 19, 2018 - The paper discusses the bias-variance tradeoff in neural networks, explaining how it affects their performance. It outlines that bias refers to the errors due... https://bytez.com/docs/arxiv/1810.08425/paper ScratchDet: Training Single-Shot Object Detectors from Scratch | Read Paper on Bytez Oct 19, 2018 - Current state-of-the-art object objectors are fine-tuned from the off-the-shelf networks pretrained on large-scale classification dataset ImageNet, which... single shot https://bytez.com/docs/arxiv/1809.06404/paper Adversarial Imitation via Variational Inverse Reinforcement Learning | Read Paper on Bytez Sep 17, 2018 - We consider a problem of learning the reward and policy from expert examples under unknown dynamics. Our proposed method builds on the framework of generative... reinforcement learning read paper adversarial imitation via https://bytez.com/docs/neurips/70987?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D MathNAS: If Blocks Have a Role in Mathematical Architecture Design | Read Paper on Bytez Sep 21, 2023 - MathNAS is a new way to search for the best designs of neural networks used in technology like computer vision and natural language processing. It simplifies... https://bytez.com/docs/arxiv/1810.03417/paper POLO: a POLicy-based Optimization library | Read Paper on Bytez Oct 8, 2018 - POLO is a free C++ library that helps researchers create and test new optimization algorithms easily and efficiently. It allows users to work with different... a policy read paper polo based optimization https://bytez.com/docs/arxiv/1810.11369/paper The Information Flow Foundation for Conceptual Knowledge Organization | Read Paper on Bytez Oct 19, 2018 - This paper explains how different groups can share knowledge and information by using a common set of definitions called ontologies. It shows that when these... the information https://bytez.com/docs/arxiv/1811.04370/paper Improved Visual Relocalization by Discovering Anchor Points | Read Paper on Bytez Nov 11, 2018 - We address the visual relocalization problem of predicting the location and camera orientation or pose (6DOF) of the given input scene. We propose a method... anchor points read paper improved visual discovering https://bytez.com/docs/arxiv/1807.00951/paper Ballistocardiogram Signal Processing: A Literature Review | Read Paper on Bytez Jul 3, 2018 - Time-domain algorithms are focused on detecting local maxima or local minima using a moving window, and therefore finding the interval between the dominant... signal processing literature review read paper bytez https://bytez.com/docs/arxiv/1811.02759/paper Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks | Read Paper on Bytez Nov 7, 2018 - The training of many existing end-to-end steering angle prediction models heavily relies on steering angles as the supervisory signal. Without learning from... learning to steer https://bytez.com/docs/arxiv/1811.04896/paper TED: Teaching AI to Explain its Decisions | Read Paper on Bytez Nov 12, 2018 - Artificial intelligence systems are being increasingly deployed due to their potential to increase the efficiency, scale, consistency, fairness, and accuracy... read paper ted teaching ai https://bytez.com/docs/arxiv/1812.03183/paper A hybrid machine-learning algorithm for designing quantum experiments | Read Paper on Bytez Dec 7, 2018 - We introduce a hybrid machine-learning algorithm for designing quantum optics experiments that produce specific quantum states. Our algorithm successfully... https://bytez.com/docs/arxiv/1810.06729/paper Robust Neural Machine Translation with Joint Textual and Phonetic Embedding | Read Paper on Bytez Oct 15, 2018 - Neural machine translation (NMT) is notoriously sensitive to noises, but noises are almost inevitable in practice. One special kind of noise is the homophone... https://bytez.com/docs/icml/45541?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D Wasserstein Flow Matching: Generative Modeling Over Families of Distributions | Read Paper on Bytez Jul 16, 2025 - This research introduces Wasserstein Flow Matching (WFM), a new method for generating and transforming distributions of data, which can be seen as collections... https://bytez.com/docs/arxiv/1807.05959/paper A Multimodal Approach to Predict Social Media Popularity | Read Paper on Bytez Jul 16, 2018 - Multiple modalities represent different aspects by which information is conveyed by a data source. Modern day social media platforms are one of the primary... multimodal approach social media https://bytez.com/docs/arxiv/1812.00125/paper How to Profile Privacy-Conscious Users in Recommender Systems | Read Paper on Bytez Dec 1, 2018 - Matrix factorization is a popular method to build a recommender system. In such a system, existing users and items are associated to a low-dimension vector... https://bytez.com/docs/arxiv/1810.05016/paper ISA$^2$: Intelligent Speed Adaptation from Appearance | Read Paper on Bytez Oct 11, 2018 - In this work we introduce a new problem named Intelligent Speed Adaptation from Appearance (ISA$^2$). Technically, the goal of an ISA$^2$ model is to predict... read paper isa intelligent speed adaptation https://bytez.com/docs/arxiv/1901.03403/paper Mean Estimation from One-Bit Measurements | Read Paper on Bytez Jan 10, 2019 - We consider the problem of estimating the mean of a symmetric log-concave distribution under the constraint that only a single bit per sample from this... read paper mean estimation one bit https://bytez.com/docs/arxiv/1807.06779/paper An Attention-Based Approach for Single Image Super Resolution | Read Paper on Bytez Jul 18, 2018 - The main challenge of single image super resolution (SISR) is the recovery of high frequency details such as tiny textures. However, most of the... https://bytez.com/docs/arxiv/1901.08362/paper Deep Reasoning with Multi-Scale Context for Salient Object Detection | Read Paper on Bytez Jan 24, 2019 - To detect salient objects accurately, existing methods usually design complex backbone network architectures to learn and fuse powerful features. However, the... https://bytez.com/docs/cvpr/33347?_c=eyJ2IjoxLCJyZWxhdGVkIjpbImNvZGUiLCJyZWZlcmVuY2VzIiwiY29uZmVyZW5jZSJdfQ%3D%3D SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model | Read Paper on Bytez Jun 15, 2025 - This research presents SIR-Diff, a new method for fixing blurry and low-quality images by using multiple pictures of the same scene taken from different... https://bytez.com/docs/arxiv/1807.10066/paper A Better Baseline for AVA | Read Paper on Bytez Jul 26, 2018 - We introduce a simple baseline for action localization on the AVA dataset. The model builds upon the Faster R-CNN bounding box detection framework, adapted to... read paper better baseline ava bytez https://bytez.com/docs/arxiv/1809.03776/paper Solving Non-identifiable Latent Feature Models | Read Paper on Bytez Sep 11, 2018 - Latent feature models (LFM)s are widely employed for extracting latent structures of data. While offering high, parameter estimation is difficult with LFMs... read paper solving non latent feature https://docs.bytez.com/http-reference/examples/open-source/automatic-speech-recognition/automatic-speech-recognition automatic-speech-recognition - Bytez Convert spoken language into written text for transcription services, voice assistants, and accessibility features automatic speech recognition bytez https://bytez.com/docs/arxiv/1807.10752/paper Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy | Read Paper on Bytez Jul 19, 2018 - Modern high-resolution microscopes, such as the scanning tunneling microscope, are commonly used to study specimens that have dense and aperiodic spatial... dictionary learning fourier transform https://bytez.com/docs/arxiv/1901.02998/paper Sentence Rewriting for Semantic Parsing | Read Paper on Bytez Jan 10, 2019 - A major challenge of semantic parsing is the vocabulary mismatch problem between natural language and target ontology. In this paper, we propose a sentence... semantic parsing read paper sentence rewriting bytez https://bytez.com/docs/arxiv/1811.11365/paper Unsupervised Multi-modal Neural Machine Translation | Read Paper on Bytez Nov 28, 2018 - Unsupervised neural machine translation (UNMT) has recently achieved remarkable results with only large monolingual corpora in each language. However, the... neural machine translation multi modal read paper unsupervised bytez https://docs.bytez.com/http-reference/examples/open-source/audio-text-to-text/audio-text-to-text audio-text-to-text - Bytez Chat with AI models using text and audio. Also known as audio-text-to-text text to audio bytez https://bytez.com/docs/arxiv/1807.10441/paper Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics | Read Paper on Bytez Jul 27, 2018 - Widely used in news, business, and educational media, infographics are handcrafted to effectively communicate messages about complex and often abstract topics... https://bytez.com/docs/arxiv/1812.06589/paper High-Resolution Talking Face Generation via Mutual Information Approximation | Read Paper on Bytez Dec 17, 2018 - Given an arbitrary speech clip and a facial image, talking face generation aims to synthesize a talking face video with precise lip synchronization as well as... https://bytez.com/docs/arxiv/1811.10959/paper Dataset Distillation | Read Paper on Bytez Nov 27, 2018 - Model distillation aims to distill the knowledge of a complex model into a simpler one. In this paper, we consider an alternative formulation called dataset... read paper dataset distillation bytez