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https://openreview.net/forum?id=6u7mf9s2A9 Interpretable Geometric Deep Learning via Learnable Randomness Injection | OpenReview Point cloud data is ubiquitous in scientific fields. Recently, geometric deep learning (GDL) has been widely applied to solve prediction tasks with such data.... geometric deep learning via learnable randomness injection https://www.learnablesolutions.com/ Learnable Home learnable https://aclanthology.org/2021.acl-long.276/ LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification - ACL... Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen. Proceedings of the 59th Annual Meeting of the Association for Computational... data augmentation learnable knowledge guided https://arxiv.org/abs/2412.12036v1 [2412.12036v1] LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System... Abstract page for arXiv paper 2412.12036v1: LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification https://www.bol.com/be/fr/p/learnable-moments-for-moms/9200000105338461/ Learnable Moments for Moms, Erin Greneaux | 9781733619806 | Livres | bol Learnable Moments for Moms (Couverture rigide). In the early years of motherhood, it may be a feat to get out of the house without something sticky on... for moms learnable moments erin livres https://deepai.org/publication/syndock-n-rigid-protein-docking-via-learnable-group-synchronization SyNDock: N Rigid Protein Docking via Learnable Group Synchronization | DeepAI May 23, 2023 - 05/23/23 - The regulation of various cellular processes heavily relies on the protein complexes within a living cell, necessitating a compreh... protein docking rigid via learnable group https://huggingface.co/papers/2503.12446 Paper page - BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries Join the discussion on this paper page https://openreview.net/forum?id=0rDn6BDNiF OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? | OpenReview Out-of-distribution (OOD) generalization is challenging because distribution shifts come in many forms. Numerous algorithms exist to address specific settings,... algorithm selection ood chameleon generalization learnable https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.layer.getlearnratefactor.html getLearnRateFactor - Get learn rate factor of layer learnable parameter - MATLAB This MATLAB function returns the learn rate factor of the learnable parameter with the name parameterName in layer. get learn rate factor layer https://www.mathworks.com/matlabcentral/answers/705093-custom-transfer-function-with-learnable-parameters-and-custom-initializing-in-shallow-neural-network?s_tid=prof_contriblnk Custom transfer function with learnable parameters and custom initializing in shallow neural... Custom transfer function with learnable... Learn more about wavelet, neural network Statistics and Machine Learning Toolbox, Deep Learning Toolbox custom transfer function learnable https://openreview.net/forum?id=Hy4m7oZ_WH&referrer=%5Bthe%20profile%20of%20Aliaksei%20Severyn%5D(%2Fprofile%3Fid%3D~Aliaksei_Severyn1) Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities | OpenReview The Softmax function on top of a final linear layer is the de facto method to output probability distributions in neural networks. In many applications such as... breaking the softmax bottleneck via https://deepai.org/publication/autogcl-automated-graph-contrastive-learning-via-learnable-view-generators AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators | DeepAI Sep 21, 2021 - 09/21/21 - Contrastive learning has been widely applied to graph representation learning, where the view generators play a vital role in gene... contrastive learning view generators automated graph via https://openreview.net/forum?id=uhcNmiPjDm SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation |... Recently, the contrastive language-image pre-training, e.g., CLIP, has demonstrated promising results on various downstream tasks. The pre-trained model can... patch aggregation learnable https://openreview.net/forum?id=wkbeqr5XhC LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal... Bandwidth constraints during signal acquisition frequently impede real-time detection applications. Hyperspectral data is a notable example, whose vast volume... https://arxiv.org/abs/2506.13564 [2506.13564] State-Space Hierarchical Compression with Gated Attention and Learnable Sampling for... Abstract page for arXiv paper 2506.13564: State-Space Hierarchical Compression with Gated Attention and Learnable Sampling for Hour-Long Video Understanding in... https://research.google/pubs/consmax-hardware-friendly-alternative-softmax-with-learnable-parameters/ ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters friendly alternative hardware softmax learnable parameters https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.layer.setl2factor.html setL2Factor - Set L2 regularization factor of layer learnable parameter - MATLAB This MATLAB function sets the L2 regularization factor of the parameter with the name parameterName in layer to factor. l2 regularization set factor layer learnable https://deepai.org/publication/security-evaluation-of-compressible-and-learnable-image-encryption-against-jigsaw-puzzle-solver-attacks Security Evaluation of Compressible and Learnable Image Encryption Against Jigsaw Puzzle Solver... Aug 4, 2023 - 08/04/23 - Several learnable image encryption schemes have been developed for privacy-preserving image classification. This paper focuses on ... https://huggingface.co/papers/2106.02795 Paper page - Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding Join the discussion on this paper page multi dimensional paper learnable fourier features https://openreview.net/forum?id=EPnzNJTYsb FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization |... Post-training quantization (PTQ) has been gaining popularity for the deployment of deep neural networks on resource-limited devices since unlike... based on https://openreview.net/forum?id=WtFobB28VDey Learnable Commutative Monoids for Graph Neural Networks | OpenReview We leverage a perspective of learnable commutative monoids to propose an expressive, flexible and efficient aggregator for GNNs. graph neural networks learnable commutative monoids openreview https://openreview.net/forum?id=n_RViGAat3&referrer=%5Bthe%20profile%20of%20Muawiz%20Sajjad%20Chaudhary%5D(%2Fprofile%3Fid%3D~Muawiz_Sajjad_Chaudhary1) Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning | OpenReview Batch normalization is a staple of computer vision models, including those employed in few-shot learning. Batch nor-malization layers in convolutional neural... batch norm https://www.mathworks.com/help/reinforcement-learning/ref/rl.function.rlcontinuousdeterministicactor.syncparameters.html syncParameters - Modify the learnable parameters of one approximator toward the learnable... This MATLAB function returns an updated function approximator object of the same type and configuration of fcnAppx, but with its learnable parameters updated... modify learnable parameters one approximator https://github.com/Megvii-BaseDetection/TreeFilter-Torch GitHub - Megvii-BaseDetection/TreeFilter-Torch: Learnable Tree Filter for Structure-preserving... Learnable Tree Filter for Structure-preserving Feature Transform - Megvii-BaseDetection/TreeFilter-Torch github megvii torch https://openreview.net/forum?id=hh-NbzDK83m&referrer=%5Bthe%20profile%20of%20Junwu%20Zhang%5D(%2Fprofile%3Fid%3D~Junwu_Zhang2) Learnable Privacy-Preserving Anonymization for Pedestrian Images | OpenReview This paper studies a novel privacy-preserving anonymization problem for pedestrian images, which preserves personal identity information (PII) for authorized... learnable privacy preserving anonymization pedestrian https://www.amazon.science/publications/tessetrack-end-to-end-learnable-multi-person-articulated-3d-pose-tracking TesseTrack: End-to-end learnable multi-person articulated 3D pose tracking - Amazon Science We consider the task of 3D pose estimation and tracking of multiple people seen in an arbitrary number of camera feeds. We propose TesseTrack1, a novel... multi person https://openreview.net/forum?id=4r2ybzJnmN Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings |... Spiking Neural Networks (SNNs) are a promising research direction for building power-efficient information processing systems, especially for temporal tasks... spiking neural networks https://www.mathworks.com/help/deeplearning/ref/onnxparameters.unfreezeparameters.html unfreezeParameters - Convert nonlearnable network parameters in ONNXParameters to learnable - MATLAB This MATLAB function unfreezes the network parameters specified by names in the ONNXParameters object params. convert network parameters learnable matlab https://openreview.net/forum?id=Hy4m7oZ_WH&referrer=%5Bthe%20profile%20of%20Gary%20B%C3%A9cigneul%5D(%2Fprofile%3Fid%3D~Gary_B%C3%A9cigneul1) Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities | OpenReview The Softmax function on top of a final linear layer is the de facto method to output probability distributions in neural networks. In many applications such as... breaking the softmax bottleneck via https://openreview.net/forum?id=Ge7okBGZYi How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of... Neural networks that map between low dimensional spaces are ubiquitous in computer graphics and scientific computing; however, in their naive implementation,... https://aclanthology.org/2025.emnlp-main.1584/ LeanK: Learnable K Cache Channel Pruning for Efficient Decoding - ACL Anthology Yike Zhang, Zhiyuan He, Huiqiang Jiang, Chengruidong Zhang, Yuqing Yang, Jianyong Wang, Lili Qiu. Proceedings of the 2025 Conference on Empirical Methods in... leank learnable cache channel https://openreview.net/forum?id=wWK7yXkULyh MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training | OpenReview Recent advances by practitioners in the deep learning community have breathed new life into Locality Sensitive Hashing (LSH), using it to reduce memory and... neural network training mongoose learnable lsh framework https://openreview.net/forum?id=M5OiPrdCPH&referrer=%5Bthe%20profile%20of%20Nicolas%20Gonthier%5D(%2Fprofile%3Fid%3D~Nicolas_Gonthier1) The Learnable Typewriter: A Generative Approach to Text Analysis | OpenReview We present a generative document-specific approach to character analysis and recognition in text lines. Our main idea is to build on unsupervised multi-object... text analysis learnable typewriter generative approach https://arxiv.org/abs/2403.20236v1 [2403.20236v1] Long-Tailed Anomaly Detection with Learnable Class Names Abstract page for arXiv paper 2403.20236v1: Long-Tailed Anomaly Detection with Learnable Class Names anomaly detection 2403 long learnable class https://aclanthology.org/2023.ccl-1.65/ Learnable Conjunction Enhanced Model for Chinese Sentiment Analysis - ACL Anthology Bingfei Zhao, Hongying Zan, Jiajia Wang, Yingjie Han. Proceedings of the 22nd Chinese National Conference on Computational Linguistics. 2023. sentiment analysis learnable conjunction enhanced model https://github.com/MKVarun/ViT-Transformers-with-learnable-resizers GitHub - MKVarun/ViT-Transformers-with-learnable-resizers: We implement a Vision Transformer model... We implement a Vision Transformer model and understand the effect of adding a learnable resizer network to the ViT Model. -... https://openreview.net/forum?id=cUcvlgkQxP&referrer=%5BAuthor%20Console%5D%28%2Fgroup%3Fid%3DNeurIPS.cc%2F2024%2FConference%2FAuthors%23your-submissions%29 Are Multiple Instance Learning Algorithms Learnable for Instances? | OpenReview Multiple Instance Learning (MIL) has been increasingly adopted to mitigate the high costs and complexity associated with labeling individual instances,... multiple instance learning algorithms learnable instances openreview https://www.edutopia.org/article/optimism-learnable-skill/ Optimism Is a Learnable Skill | Edutopia Understanding the differences between pessimism and optimism can help students improve the way they respond to challenges. is a optimism learnable skill edutopia https://openreview.net/forum?id=vQzcqQWIS0q Learnable Embedding sizes for Recommender Systems | OpenReview The embedding-based representation learning is commonly used in deep learning recommendation models to map the raw sparse features to dense vectors. The... recommender systems learnable embedding sizes openreview https://deepai.org/publication/d-net-learning-for-distinctive-point-clouds-by-self-attentive-point-searching-and-learnable-feature-fusion D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable... May 10, 2023 - 05/10/23 - Learning and selecting important points on a point cloud is crucial for point cloud understanding in various applications. Most of... https://www.mdpi.com/1424-8220/21/14/4662 Fully Learnable Model for Task-Driven Image Compressed Sensing This study primarily investigates image sensing at low sampling rates with convolutional neural networks (CNN) for specific applications. To improve the image... fully learnable model task driven