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Representation Learning

2843 directly classified papers

Papers per year

Papers

D^4: Dataset Distillation via Disentangled Diffusion Model CVPR 2024
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation CVPR 2024
Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment CVPR 2024
Learning Representations for Robust Human-Robot Interaction AAAI 2024
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching NIPS 2024
Continual Learning in the Frequency Domain NIPS 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? NIPS 2024
Towards a theory of how the structure of language is acquired by deep neural networks NIPS 2024
Link Prediction in Multilayer Networks via Cross-Network Embedding AAAI 2024
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning NIPS 2024
Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NIPS 2024
When Context Leads but Parametric Memory Follows in Large Language Models EMNLP 2024
Toward Compositional Behavior in Neural Models: A Survey of Current Views EMNLP 2024
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables AAAI 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis EMNLP 2024
Towards a Similarity-adjusted Surprisal Theory EMNLP 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing NIPS 2024
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System AAAI 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers NIPS 2024
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration AAAI 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data NIPS 2024