conftrace_

representation learning

6,926 papers

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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

What to align in multimodal contrastive learning? ICLR 2025 When and How Does CLIP Enable Domain and Compositional Generalization? ICML 2025 When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? AAAI 2025 When does compositional structure yield compositional generalization? A kernel theory. ICLR 2025 When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach CVPR 2025 When do neural networks learn world models? ICML 2025 When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning CVPR 2025 When Truthful Representations Flip Under Deceptive Instructions? EMNLP 2025 Where do LLMs Encode the Knowledge to Assess the Ambiguity? COLING 2025 Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression ICLR 2025 Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone AAAI 2025 Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? AAAI 2025 Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding ACL 2025 X-ARES: A Comprehensive Framework for Assessing Audio Encoder Performance Interspeech 2025 X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Jailbreak Attacks without Compromising Usability EMNLP 2025 XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications AAAI 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 Your ViT is Secretly an Image Segmentation Model CVPR 2025 ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition AAAI 2025 ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning AAAI 2025 Zero-Shot Compositional Video Learning with Coding Rate Reduction ICCV 2025 Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts IJCAI 2025 Zero-Shot Image Captioning with Multi-type Entity Representations AAAI 2025 ZIPA: A family of efficient models for multilingual phone recognition ACL 2025 αTC-VAE: On the relationship between Disentanglement and Diversity ICLR 2024