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Representation Learning

5,307 papers

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Papers

Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification ACL 2024 Training Data Attribution via Approximate Unrolling NeurIPS 2024 Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation EMNLP 2024 Transcendence: Generative Models Can Outperform The Experts That Train Them NeurIPS 2024 Transcoders find interpretable LLM feature circuits NeurIPS 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers NeurIPS 2024 Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision ACL 2024 Trustless Audits without Revealing Data or Models ICML 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 Higher-Order Correlations Among Semantic Components in Embeddings EMNLP 2024 Understanding Visual Feature Reliance through the Lens of Complexity NeurIPS 2024 Unified Generative and Discriminative Training for Multi-modal Large Language Models NeurIPS 2024 UniFL: Improve Latent Diffusion Model via Unified Feedback Learning NeurIPS 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion NeurIPS 2024 Unity by Diversity: Improved Representation Learning for Multimodal VAEs NeurIPS 2024 Universal Humanoid Motion Representations for Physics-Based Control ICLR 2024 Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues ICML 2024 Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment AAAI 2024 Unsupervised Discrete Representations of American Sign Language EMNLP 2024 Unsupervised Extractive Summarization with Learnable Length Control Strategies AAAI 2024 Unsupervised Feature Learning with Emergent Data-Driven Prototypicality CVPR 2024 Unsupervised Representation Learning by Balanced Self Attention Matching ECCV 2024 Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement AAAI 2024