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Representation Learning

2843 directly classified papers

Papers per year

Papers

A time-resolved theory of information encoding in recurrent neural networks NIPS 2022
Kernel Memory Networks: A Unifying Framework for Memory Modeling NIPS 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data NIPS 2022
Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution NIPS 2022
Structuring Representations Using Group Invariants NIPS 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NIPS 2022
Exponential Separations in Symmetric Neural Networks NIPS 2022
First is Better Than Last for Language Data Influence NIPS 2022
Provable Benefit of Multitask Representation Learning in Reinforcement Learning NIPS 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding NIPS 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NIPS 2022
Generalised Implicit Neural Representations NIPS 2022
Graph Scattering beyond Wavelet Shackles NIPS 2022
Effects of Data Geometry in Early Deep Learning NIPS 2022
Characterizing Datapoints via Second-Split Forgetting NIPS 2022
Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NIPS 2022
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks NIPS 2022
Self-Supervised Fair Representation Learning without Demographics NIPS 2022
Exploring Example Influence in Continual Learning NIPS 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods NIPS 2022
DARE: Disentanglement-Augmented Rationale Extraction NIPS 2022
Temporally Disentangled Representation Learning NIPS 2022
Learning Physical Dynamics with Subequivariant Graph Neural Networks NIPS 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning NIPS 2022
Diagonal State Spaces are as Effective as Structured State Spaces NIPS 2022