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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

The geometry of hidden representations of large transformer models NIPS 2023
4M: Massively Multimodal Masked Modeling NIPS 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder NIPS 2023
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations NIPS 2023
Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects NIPS 2023
Learning Interpretable Low-dimensional Representation via Physical Symmetry NIPS 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data NIPS 2023
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration NIPS 2023
What Knowledge Gets Distilled in Knowledge Distillation? NIPS 2023
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation NIPS 2023
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception NIPS 2023
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection NIPS 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities NIPS 2023
Coneheads: Hierarchy Aware Attention NIPS 2023
Improving neural network representations using human similarity judgments NIPS 2023
Sparse Parameterization for Epitomic Dataset Distillation NIPS 2023
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner NIPS 2023
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence NIPS 2023
An Inductive Bias for Tabular Deep Learning NIPS 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations NIPS 2023
An Information Theory Perspective on Variance-Invariance-Covariance Regularization NIPS 2023
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NIPS 2023
RevColV2: Exploring Disentangled Representations in Masked Image Modeling NIPS 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex NIPS 2023
Leveraging sparse and shared feature activations for disentangled representation learning NIPS 2023