Representation Learning

Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms AAAI 2023 Learning the Efficient Frontier NeurIPS 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics NeurIPS 2023 Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data CVPR 2023 Learning to Receive Help: Intervention-Aware Concept Embedding Models NeurIPS 2023 Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling AAAI 2023 Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera AAAI 2023 Learning useful representations for shifting tasks and distributions ICML 2023 Learning with Explanation Constraints NeurIPS 2023 Learning with Partial Forgetting in Modern Hopfield Networks AISTATS 2023 Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation IJCAI 2023 Leveraging Label Information for Multimodal Emotion Recognition Interspeech 2023 Leveraging Proxy of Training Data for Test-Time Adaptation ICML 2023 Leveraging sparse and shared feature activations for disentangled representation learning NeurIPS 2023 Leveraging Sub-class Discimination for Compositional Zero-Shot Learning AAAI 2023 Leveraging Temporal Context in Low Representational Power Regimes CVPR 2023 Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries EMNLP 2023 LexSym: Compositionality as Lexical Symmetry ACL 2023 Lie Point Symmetry and Physics-Informed Networks NeurIPS 2023 Limitations of Language Models in Arithmetic and Symbolic Induction ACL 2023 LINe: Out-of-Distribution Detection by Leveraging Important Neurons CVPR 2023 Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation AAAI 2023 Local Path Integration for Attribution AAAI 2023 MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior ICML 2023 Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023