representation learning

Towards Principled Representation Learning from Videos for Reinforcement Learning ICLR 2024 Towards Progressive Multi-Frequency Representation for Image Warping CVPR 2024 Towards Real-world Scenario: Imbalanced New Intent Discovery ACL 2024 Towards Representation Learning for Weighting Problems in Design-Based Causal Inference UAI 2024 Towards Robust Multimodal Sentiment Analysis with Incomplete Data NeurIPS 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Towards Stable Representations for Protein Interface Prediction NeurIPS 2024 Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series AAAI 2024 Towards the TopMost: A Topic Modeling System Toolkit 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 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024 Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge EACL 2024 Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization EACL 2024 Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis NeurIPS 2024 Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation EMNLP 2024 TRAM: Bridging Trust Regions and Sharpness Aware Minimization ICLR 2024 Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection CVPR 2024 Transferring disentangled representations: bridging the gap between synthetic and real images NeurIPS 2024 Transformers are Minimax Optimal Nonparametric In-Context Learners NeurIPS 2024 Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024 Transformers Represent Belief State Geometry in their Residual Stream NeurIPS 2024 T-Rep: Representation Learning for Time Series using Time-Embeddings ICLR 2024 Triple-Encoders: Representations That Fire Together, Wire Together ACL 2024 TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space ACL 2024