conftrace_

representation learning

6,926 papers

Explore in graph

Also known as

RL

Co-occurring keywords · papers mentioning both

contrastive learning (960) self-supervised learning (952) transfer learning (487) neural network (452) graph neural network (415) unsupervised learning (414) multimodal learning (327) domain adaptation (252) feature learning (216) knowledge distillation (209)

Papers

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition CVPR 2025 nGPT: Normalized Transformer with Representation Learning on the Hypersphere ICLR 2025 NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals ICLR 2025 NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning AAAI 2025 Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory CVPR 2025 Nonlinear Sequence Embedding by Monotone Variational Inequality ICLR 2025 Norm of Mean Contextualized Embeddings Determines their Variance COLING 2025 Not All Language Model Features Are One-Dimensionally Linear ICLR 2025 OASIS: Order-Augmented Strategy for Improved Code Search ACL 2025 Objective drives the consistency of representational similarity across datasets ICML 2025 Offline Multi-task Transfer RL with Representational Penalization AISTATS 2025 OGBench: Benchmarking Offline Goal-Conditioned RL ICLR 2025 One2Any: One-Reference 6D Pose Estimation for Any Object CVPR 2025 One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators ICCV 2025 On Effects of Steering Latent Representation for Large Language Model Unlearning AAAI 2025 One Last Attention for Your Vision-Language Model ICCV 2025 One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion CVPR 2025 On Entity Identification in Language Models ACL 2025 On Measuring Long-Range Interactions in Graph Neural Networks ICML 2025 On Relation-Specific Neurons in Large Language Models EMNLP 2025 On Support Samples of Next Word Prediction ACL 2025 On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models NAACL 2025 On the Correspondence between the Squared Norm and Information Content in Text Embeddings EMNLP 2025 On the Feature Learning in Diffusion Models ICLR 2025 On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning ICLR 2025