Deep Learning

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning AAAI 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 Enhancing Self-Attention via Knowledge Fusion: Deriving Sentiment Lexical Attention from Semantic-Polarity Scores NAACL 2024 Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models ECCV 2024 Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs EMNLP 2024 Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning ICML 2024 Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ACL 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 Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024 Enhancing Temporal Modeling of Video LLMs via Time Gating EMNLP 2024 Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation EACL 2024 Enhancing Text-to-SQL Parsing through Question Rewriting and Execution-Guided Refinement ACL 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Enhancing Tool Retrieval with Iterative Feedback from Large Language Models EMNLP 2024 Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024 Enhancing Training of Spiking Neural Network with Stochastic Latency AAAI 2024 Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction ICML 2024 Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation ICLR 2024 Enhancing Video Super-Resolution via Implicit Resampling-based Alignment CVPR 2024 Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024 Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module ICML 2024 Enhancing Visual Continual Learning with Language-Guided Supervision CVPR 2024