Representation Learning

Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning ICML 2024 Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features Interspeech 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy AAAI 2024 Enhancing Sufficient Dimension Reduction via Hellinger Correlation ICML 2024 Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024 Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024 Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NeurIPS 2024 Ensemble Diversity Facilitates Adversarial Transferability CVPR 2024 Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields CVPR 2024 Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning ICLR 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Equivariant Matrix Function Neural Networks ICLR 2024 ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis ACL 2024 ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency Interspeech 2024 Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction IJCAI 2024 Error-Robust Retrieval for Chinese Spelling Check COLING 2024 ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations CVPR 2024 ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes COLING 2024 Estimating Conditional Average Treatment Effects via Sufficient Representation Learning IJCAI 2024 Estimating Lexical Complexity from Document-Level Distributions COLING 2024 Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data AAAI 2024 Estimating Shape Distances on Neural Representations with Limited Samples ICLR 2024 Estimating Unknown Population Sizes Using the Hypergeometric Distribution ICML 2024 Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024 Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator JMLR 2024