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https://openreview.net/forum?id=J1rhANsCY9 Learning Representation from Neural Fisher Kernel with Low-rank Approximation | OpenReview In this paper, we study the representation of neural networks from the view of kernels. We first define the Neural Fisher Kernel (NFK), which is the Fisher... low rank approximation learning representation fisher kernel neural https://oecd.ai/en/catalogue/metric-use-cases/learning-representation-for-clustering-via-prototype-scattering-and-positive-sampling Learning Representation for Clustering via Prototype Scattering and Positive Sampling - OECD.AI Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence... learning representation https://scads.ai/1st-workshop-of-learning-large-language-models-for-knowledge-representation/ Learning Large Language Models for Knowledge Representation Dec 13, 2024 - From 12.-13.12.2024, the workshop LLMs' secrets - Learning Large Language Models for Knowledge Representation was held in Dresden. large language models learning knowledge representation https://openreview.net/forum?id=7LSEkvEGCM&referrer=%5Bthe%20profile%20of%20Siddhartha%20Mishra%5D(%2Fprofile%3Fid%3D~Siddhartha_Mishra1) Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning |... Recently, operator learning, or learning mappings between infinite-dimensional function spaces, has garnered significant attention, notably in relation to... neural operators representation equivalent https://openreview.net/forum?id=djdGhswqSs On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning | OpenReview We study the discriminative probabilistic modeling problem over a continuous domain for (multimodal) self-supervised representation learning. To address the... self supervised representation learning probabilistic modeling openreview https://deepai.org/publication/exploring-visual-engagement-signals-for-representation-learning Exploring Visual Engagement Signals for Representation Learning | DeepAI Apr 15, 2021 - 04/15/21 - Visual engagement in social media platforms comprises interactions with photo posts including comments, shares, and likes. In this... visual engagement representation learning exploring signals deepai https://deepai.org/publication/latent-tree-variational-autoencoder-for-joint-representation-learning-and-multidimensional-clustering Latent Tree Variational Autoencoder for Joint Representation Learning and Multidimensional... Mar 14, 2018 - 03/14/18 - Recently, deep learning based clustering methods are shown superior to traditional ones by jointly conducting representation learn... variational autoencoder joint representation latent tree learning https://openreview.net/forum?id=r5nev2SHtJ From Causal to Concept-Based Representation Learning | OpenReview To build intelligent machine learning systems, modern representation learning attempts to recover latent generative factors from data, such as in causal... representation learning causal concept based openreview https://www.kaggle.com/c/challenges-in-representation-learning-multi-modal-learning/ Challenges in Representation Learning: Multi-modal Learning | Kaggle The multi-modal learning challenge representation learning multi modal challenges kaggle https://deepai.org/publication/self-supervised-video-representation-learning-with-cascade-positive-retrieval Self-supervised Video Representation Learning with Cascade Positive Retrieval | DeepAI Jan 20, 2022 - 01/20/22 - Self-supervised video representation learning has been shown to effectively improve downstream tasks such as video retrieval and a... self supervised representation learning video cascade positive https://www.jmir.org/2023/1/e45614/metrics Journal of Medical Internet Research - Representation Learning and Spectral Clustering for the... Background: Recent attempts at clinical phenotyping for sepsis have shown promise in identifying groups of patients with distinct treatment responses.... journal of medical internet research representation learning https://openreview.net/forum?id=rMCXjkqITMI Interventional Causal Representation Learning | OpenReview The theory of identifiable representation learning aims to build general-purpose methods that extract high-level latent (causal) factors from low-level sensory... representation learning interventional causal openreview https://openreview.net/forum?id=BcQqzWwzoaw Channel Randomisation with Domain Control for Effective Representation Learning of Visual Anomalies... We present novel strategies for effective application of "Channel Randomisation" to perform self-supervised learning of visual anomalies in strawberries https://openreview.net/forum?id=OTnqQUEwPKu Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics |... Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics bias mitigation representation learning benchmarking algorithms fairness https://openreview.net/forum?id=DZUzOKE6og HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs | OpenReview Hypergraphs are marked by complex topology, expressing higher-order interactions among multiple nodes with hyperedges, and better capturing the topology is... self supervised representation learning generative hypergraphs openreview https://arxiv.org/abs/2508.02609 [2508.02609] Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads Abstract page for arXiv paper 2508.02609: Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads representation learning https://openreview.net/forum?id=WFYbBOEOtv V-JEPA: Latent Video Prediction for Visual Representation Learning | OpenReview This paper shows that the masked-modelling principle driving the success of large foundational language models can be effectively applied to video by making... v jepa visual representation latent video prediction https://openreview.net/forum?id=mEHrFU6rjl&referrer=%5Bthe%20profile%20of%20Hakim%20Benkirane%5D(%2Fprofile%3Fid%3D~Hakim_Benkirane1) Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning |... Oncologists are increasingly relying on multiple modalities to model the complexity of diseases. Within this landscape, transcriptomic and epigenetic data have... https://openreview.net/forum?id=rEBScZF6G70 Residual Relaxation for Multi-view Representation Learning | OpenReview We propose residual relaxation for generalizing multi-view representation learning. multi view representation learning residual relaxation openreview https://openreview.net/forum?id=cuD5ZfMwMk Representation Learning based Target Discovery from UKBB MRI data | OpenReview Medical imaging technologies such as MRI and CT scans offer valuable insights into a person's biological condition. Phenotypes derived from these images are... representation learning target discovery based ukbb mri https://github.com/github/CodeSearchNet GitHub - github/CodeSearchNet: Datasets, tools, and benchmarks for representation learning of code.... Datasets, tools, and benchmarks for representation learning of code. - github/CodeSearchNet representation learning github datasets tools https://arxiv.org/abs/2011.06037v1 [2011.06037v1] Unsupervised Video Representation Learning by Bidirectional Feature Prediction Abstract page for arXiv paper 2011.06037v1: Unsupervised Video Representation Learning by Bidirectional Feature Prediction representation learning 2011 unsupervised video bidirectional https://openreview.net/forum?id=RDWvNBSFphp Plan2Vec: Unsupervised Representation Learning by Latent Plans | OpenReview In this paper, we introducePlan2Vec, an model-based method to learn state representation fromsequences of off-policy observation data via planning. In contrast... representation learning unsupervised latent plans openreview https://openreview.net/forum?id=pJ1rlgh72Z&referrer=%5Bthe%20profile%20of%20Daisuke%20Niizumi%5D(%2Fprofile%3Fid%3D~Daisuke_Niizumi1) BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation | OpenReview Inspired by the recent progress in self-supervised learning for computer vision that generates supervision using data augmentations, we explore a new... self supervised learning for audio general purpose byol representation https://www.umassd.edu/research/research-awards/career-enabling-continual-multi-view-representation-learning-an-adversarial-perspective-1.html Research Awards: CAREER: Enabling Continual Multi-view Representation Learning: An Adversarial... $ 498,970 awarded, sponsored by National Science Foundation research awards multi view representation learning career enabling https://www.amazon.science/publications/motion-guided-masking-for-spatiotemporal-representation-learning Motion-guided masking for spatiotemporal representation learning - Amazon Science Several recent works have directly extended the image masked autoencoder (MAE) with random masking into video domain, achieving promising results. However,... representation learning motion guided masking spatiotemporal https://openreview.net/forum?id=gPtiGRaVcE Road Network Representation Learning with the Third Law of Geography | OpenReview Road network representation learning aims to learn compressed and effective vectorized representations for road segments that are applicable to numerous tasks.... road network representation learning with the third law https://openreview.net/forum?id=lAN7mytwrIy&referrer=%5Bthe%20profile%20of%20Jing%20Xiao%5D(%2Fprofile%3Fid%3D~Jing_Xiao3) ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis |... Self-supervised multi-view stereopsis (MVS) attracts increasing attention for learning dense surface predictions from only a set of images without onerous... self supervised multi view learning elastic part https://deepai.org/publication/unified-abstract-syntax-tree-representation-learning-for-cross-language-program-classification Unified Abstract Syntax Tree Representation Learning for Cross-Language Program Classification |... May 1, 2022 - 05/01/22 - Program classification can be regarded as a high-level abstraction of code, laying a foundation for various tasks related to sourc... abstract syntax tree representation learning cross language unified https://openreview.net/forum?id=-oUhJJILWHb Learning Debiased Representation via Disentangled Feature Augmentation | OpenReview This paper proposes a novel feature-level data augmentation for debiasing via learning disentangled representation. learning representation via disentangled feature https://gerne-debias.github.io/ GERNE: Gradient Extrapolation for Debiased Representation Learning Gradient Extrapolation for Debiased Representation Learning gerne gradient extrapolation representation learning https://openreview.net/forum?id=aCiFCj4rEA Learning Endogenous Representation in Reinforcement Learning via Advantage Estimation | OpenReview Recently, it was shown that the advantage function can be understood as quantifying the causal effect of an action on the cumulative reward. However, this... learning endogenous representation reinforcement via https://openreview.net/forum?id=UXzYUrWSzt&referrer=%5Bthe%20profile%20of%20Jie%20Huang%5D(%2Fprofile%3Fid%3D~Jie_Huang4) Neural degradation representation learning for all-in-one image restoration | OpenReview Existing methods have demonstrated effective performance on a single degradation type. In practical applications, however, the degradation is often unknown,... learning for all image restoration neural degradation representation https://arxiv.org/abs/2012.09161 [2012.09161] Learning Continuous Image Representation with Local Implicit Image Function Abstract page for arXiv paper 2012.09161: Learning Continuous Image Representation with Local Implicit Image Function 2012 09161 learning continuous image https://arxiv.org/abs/2305.12618 [2305.12618] Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning Abstract page for arXiv paper 2305.12618: Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning https://openreview.net/forum?id=HumfPzF2yeI&referrer=%5Bthe%20profile%20of%20D%20Livingston%20McPherson%5D(%2Fprofile%3Fid%3D~D_Livingston_McPherson1) Learning Rewards and Skills to Follow Commands with a Data Efficient Visual-Audio Representation |... We learn a representation to generate a reward function to train command-following robots with reinforcement learning https://openreview.net/forum?id=q6WtaLj8O1&referrer=%5Bthe%20profile%20of%20Chenqi%20Qiao%5D(%2Fprofile%3Fid%3D~Chenqi_Qiao1) Fully Hyperbolic Representation Learning on Knowledge Hypergraph | OpenReview Knowledge hypergraphs generalize knowledge graphs in terms of utilizing hyperedges to connect multiple entities and represent complicated relations within... representation learning fully hyperbolic knowledge hypergraph https://arxiv.org/abs/2410.00665v2 [2410.00665v2] Graph-Based Representation Learning of Neuronal Dynamics and Behavior Abstract page for arXiv paper 2410.00665v2: Graph-Based Representation Learning of Neuronal Dynamics and Behavior representation learning 2410 graph based https://openreview.net/forum?id=xmcYx_reUn6 BrainBERT: Self-supervised representation learning for intracranial recordings | OpenReview Modeling neural data with Transformers to create self-supervised contextual embeddings that increase decoding performance self supervised representation learning intracranial recordings openreview https://deepai.org/publication/online-deep-clustering-for-unsupervised-representation-learning Online Deep Clustering for Unsupervised Representation Learning | DeepAI Jun 18, 2020 - 06/18/20 - Joint clustering and feature learning methods have shown remarkable performance in unsupervised representation learning. However, ... representation learning online deep clustering unsupervised https://sites.google.com/view/repl4nlp2024/submission 9th Workshop on Representation Learning for NLP - Previous Versions 1st Workshop on Representation Learning for NLP (ACL 2016) 2nd Workshop on Representation Learning for NLP (ACL 2017) 3rd Workshop on Representation Learning... representation learning 9th workshop nlp previous https://arxiv.org/abs/2603.18184 [2603.18184] CWoMP: Morpheme Representation Learning for Interlinear Glossing Abstract page for arXiv paper 2603.18184: CWoMP: Morpheme Representation Learning for Interlinear Glossing representation learning 2603 18184 morpheme interlinear https://www.kth.se/en/om/upptack/kalender/disputationer/interactive-representation-learning-1.1458116 Interactive Representation Learning | KTH Symmetries, Metric Spaces and Uncertainty interactive representation learning kth https://openreview.net/forum?id=WeLsBd4PaIB Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks | OpenReview Auxiliary tasks improve the representations learned by deep reinforcement learning agents. Analytically, their effect is reasonably well-understood; in... value networks representation learning proto scaling auxiliary https://openreview.net/forum?id=HyxX96_xeN Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning | OpenReview We propose a novel variational autoencoder (VAE) framework for learning representations of cell images for the domain of image-based profiling, important for... single cell phenotypic variation representation learning capturing via https://openreview.net/forum?id=6dsvH7pQHH Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge... We propose a new method for layerwise representation learning of a trained neural network that conforms to the non-linearity of the layer's transfer function.... representation learning neural networks layerwise bregman https://openreview.net/forum?id=1gY17EWQyl A Causal Ordering Prior for Unsupervised Representation Learning | OpenReview Unsupervised representation learning with variational inference relies heavily on independence assumptions over latent variables. Causal representation... representation learning causal ordering prior unsupervised https://arxiv.org/abs/2407.13541 [2407.13541] On the Discriminability of Self-Supervised Representation Learning Abstract page for arXiv paper 2407.13541: On the Discriminability of Self-Supervised Representation Learning on the self supervised 2407 13541 representation https://deepai.org/publication/provably-efficient-representation-learning-with-tractable-planning-in-low-rank-pomdp Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP | DeepAI Jun 21, 2023 - 06/21/23 - In this paper, we study representation learning in partially observable Markov Decision Processes (POMDPs), where the agent learns... representation learning https://arxiv.org/html/2402.10409v1 Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning large language models survey paper https://aclanthology.org/2021.findings-emnlp.409/ Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation - ACL Anthology Haoran Yang, Wai Lam, Piji Li. Findings of the Association for Computational Linguistics: EMNLP 2021. 2021. representation learning paraphrase generation contrastive exemplar guided https://www.amazon.science/publications/multi-task-learning-for-parsing-the-alexa-meaning-representation-language Multi-Task Learning For Parsing The Alexa Meaning Representation Language - Amazon Science The Alexa Meaning Representation Language (AMRL) is a compositional graph-based semantic representation that includes fine-grained types, properties, actions,... multi task learning https://elifesciences.org/reviewed-preprints/107602v3/figures New idtracker.ai: rethinking multi-animal tracking as a representation learning problem to increase... https://openreview.net/forum?id=y5L8W0KRUX Evolution-Inspired Loss Functions for Protein Representation Learning | OpenReview AI-based frameworks for protein engineering use self-supervised learning (SSL) to obtain representations for downstream mutation effect predictions. The most... loss functions representation learning evolution inspired protein https://openreview.net/forum?id=HJloElBYvB Phase Transitions for the Information Bottleneck in Representation Learning | OpenReview We give a theoretical analysis of the Information Bottleneck objective to understand and predict observed phase transitions in the prediction vs. compression... for the information phase transitions representation learning bottleneck openreview