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← Optimization & Theory
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Optimization & Theory
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Representation Learning
63 directly classified papers
Papers per year
2009: 1
2013: 1
2015: 1
2017: 1
2018: 5
2019: 2
2020: 4
2021: 8
2022: 4
2023: 12
2024: 5
2025: 16
2026: 3
Papers
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
WACV 2026
Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
AAAI 2026
Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion
AAAI 2026
FADE: Why Bad Descriptions Happen to Good Features
ACL 2025
Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video
ICCV 2025
CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation
COLING 2025
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
AAAI 2025
Prediction Hubs are Context-Informed Frequent Tokens in LLMs
ACL 2025
Separation for Better Integration: Disentangling Edge and Motion in Event-based Deblurring
ICCV 2025
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
AAAI 2025
VADE: Visual Attention Guided Hallucination Detection and Elimination
ACL 2025
Do Large Language Models Mirror Cognitive Language Processing?
COLING 2025
Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction
WACV 2025
Polarity inversion operators in PLM
CONLL 2025
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
CVPR 2025
Inspecting the Representation Manifold of Differentially-Private Text
NAACL 2025
Asymmetric Reinforcing Against Multi-Modal Representation Bias
AAAI 2025
Quantifying Phonosemantic Iconicity Distributionally in 6 Languages
IJCNLP 2025
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation
ACL 2025
Forecasting of 3D Whole-body Human Poses with Grasping Objects
CVPR 2024
Model-Free Representation Learning and Exploration in Low-Rank MDPs
JMLR 2024
Unsupervised Object Detection with Theoretical Guarantees
NIPS 2024
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
CVPR 2024
Neural Feature Learning in Function Space
JMLR 2024
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
ICML 2023
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