Representation Learning

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NeurIPS 2024 The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models ACL 2024 The Prevalence of Neural Collapse in Neural Multivariate Regression NeurIPS 2024 The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach CoRL 2024 Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs EMNLP 2024 TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation CVPR 2024 Topic Modeling: Contextual Token Embeddings Are All You Need EMNLP 2024 TopoFR: A Closer Look at Topology Alignment on Face Recognition NeurIPS 2024 Topological Neural Networks go Persistent, Equivariant, and Continuous ICML 2024 TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NeurIPS 2024 Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning NeurIPS 2024 Towards 3D Vision with Low-Cost Single-Photon Cameras CVPR 2024 Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics NeurIPS 2024 Towards Combating Frequency Simplicity-biased Learning for Domain Generalization NeurIPS 2024 Towards Croppable Implicit Neural Representations NeurIPS 2024 Towards Global Optimal Visual In-Context Learning Prompt Selection NeurIPS 2024 Towards Progressive Multi-Frequency Representation for Image Warping CVPR 2024 Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network CVPR 2024 Towards Representation Learning for Weighting Problems in Design-Based Causal Inference UAI 2024 Towards Squeezing-Averse Virtual Try-On via Sequential Deformation AAAI 2024 Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024 Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NeurIPS 2024 Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis EMNLP 2024