Representation Learning

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024 The motion planning neural circuit in goal-directed navigation as Lie group operator search NeurIPS 2024 The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning EMNLP 2024 The Mystery of the Pathological Path-star Task for Language Models EMNLP 2024 Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NeurIPS 2024 Theoretical Foundations of Deep Selective State-Space Models NeurIPS 2024 Theoretically Achieving Continuous Representation of Oriented Bounding Boxes CVPR 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 The Register-specific Distribution of Personification in Hungarian: A Corpus-driven Analysis NAACL 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 Thermometer: Towards Universal Calibration for Large Language Models ICML 2024 The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks NeurIPS 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 The tree autoencoder model, with application to hierarchical data visualization NeurIPS 2024 The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement CVPR 2024 The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation NAACL 2024 The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models ICLR 2024 The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning ICML 2024 Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs ACL 2024 Threshold-Consistent Margin Loss for Open-World Deep Metric Learning ICLR 2024 TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation COLING 2024 Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024 Time-Efficient Light-Field Acquisition Using Coded Aperture and Events CVPR 2024 Time is Encoded in the Weights of Finetuned Language Models ACL 2024 TimeX++: Learning Time-Series Explanations with Information Bottleneck ICML 2024