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

Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse NeurIPS 2024 Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NeurIPS 2024 Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression ICLR 2024 Information Retention via Learning Supplemental Features ICLR 2024 Instruction Embedding: Latent Representations of Instructions Towards Task Identification NeurIPS 2024 Integrating Quasi-symbolic Conceptual Knowledge into Language Model Pre-training CoNLL 2024 Interactive Deep Clustering via Value Mining NeurIPS 2024 InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning ICML 2024 Interpretability of Language Models via Task Spaces ACL 2024 Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NeurIPS 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NeurIPS 2024 Intrinsic Self-Supervision for Data Quality Audits NeurIPS 2024 Invariance-based Learning of Latent Dynamics ICLR 2024 Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios CVPR 2024 Investigating Layer Importance in Large Language Models EMNLP 2024 Investigating the Benefits of Projection Head for Representation Learning ICLR 2024 Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video ICLR 2024 JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract) AAAI 2024 Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning WACV 2024 Kernel Readout for Graph Neural Networks IJCAI 2024 KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024 Knowledge Enhanced Representation Learning for Drug Discovery AAAI 2024 Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos AAAI 2024 L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024 Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models ICLR 2024