Representation Learning

Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation ICML 2024 UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing CVPR 2024 UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity CVPR 2024 UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training NeurIPS 2024 ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback ICML 2024 UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures CVPR 2024 UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration ECCV 2024 U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting AAAI 2024 Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions MIDL 2024 Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning ICLR 2024 Uncovering Social Changes of the Basque Speaking Twitter Community During COVID-19 Pandemic COLING 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 Understanding and Patching Compositional Reasoning in LLMs ACL 2024 Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression ICLR 2024 Understanding Bias in Large-Scale Visual Datasets NeurIPS 2024 Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision AAAI 2024 Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NeurIPS 2024 Understanding Heterophily for Graph Neural Networks ICML 2024 Understanding Higher-Order Correlations Among Semantic Components in Embeddings EMNLP 2024 Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024 Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024 Understanding MLP-Mixer as a wide and sparse MLP ICML 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NeurIPS 2024 Understanding the Transferability of Representations via Task-Relatedness NeurIPS 2024