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

OmniVec: Learning Robust Representations With Cross Modal Sharing WACV 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models ICLR 2024 On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NeurIPS 2024 On the Comparison between Multi-modal and Single-modal Contrastive Learning NeurIPS 2024 On the Encoding of Gender in Transformer-based ASR Representations Interspeech 2024 On the Fragility of Active Learners for Text Classification EMNLP 2024 On the Generalization Ability of Unsupervised Pretraining AISTATS 2024 On the Joint Interaction of Models, Data, and Features ICLR 2024 On the Provable Advantage of Unsupervised Pretraining ICLR 2024 On the Surprising Effectiveness of Attention Transfer for Vision Transformers NeurIPS 2024 On the Universal Truthfulness Hyperplane Inside LLMs EMNLP 2024 On Train-Test Class Overlap and Detection for Image Retrieval CVPR 2024 On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective ICML 2024 OOD Aware Supervised Contrastive Learning WACV 2024 Optimal Sample Complexity of Contrastive Learning ICLR 2024 OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning CVPR 2024 Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations Interspeech 2024 Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness ICLR 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024 Overthinking the Truth: Understanding how Language Models Process False Demonstrations ICLR 2024 PALM: Predicting Actions through Language Models ECCV 2024 Panoptic Scene Graph Generation with Semantics-Prototype Learning AAAI 2024 Parallel Structures in Pre-training Data Yield In-Context Learning ACL 2024 Parameter-efficient Fine-tuning of Speaker-Aware Dynamic Prompts for Speaker Verification Interspeech 2024