Representation Learning

Block Transformer: Global-to-Local Language Modeling for Fast Inference NeurIPS 2024 BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model NeurIPS 2024 BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed CVPR 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NeurIPS 2024 Boosting Diffusion Models with an Adaptive Momentum Sampler IJCAI 2024 Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NeurIPS 2024 Boosting Graph Pooling with Persistent Homology NeurIPS 2024 Boosting Neural Representations for Videos with a Conditional Decoder CVPR 2024 Bootstrapping Top-down Information for Self-modulating Slot Attention NeurIPS 2024 BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses COLING 2024 BoQ: A Place is Worth a Bag of Learnable Queries CVPR 2024 Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling IJCAI 2024 Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation ICLR 2024 BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? NeurIPS 2024 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NeurIPS 2024 Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval EMNLP 2024 Breakthrough from Nuance and Inconsistency: Enhancing Multimodal Sarcasm Detection with Context-Aware Self-Attention Fusion and Word Weight Calculation. COLING 2024 Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NeurIPS 2024 Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors IJCAI 2024 Bridging Local Details and Global Context in Text-Attributed Graphs EMNLP 2024 Bridging Neural and Symbolic Representations with Transitional Dictionary Learning ICLR 2024 Bridging State and History Representations: Understanding Self-Predictive RL ICLR 2024 Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length ACL 2024 Building Knowledge-Guided Lexica to Model Cultural Variation NAACL 2024 By Tying Embeddings You Are Assuming the Distributional Hypothesis ICML 2024