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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

Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin WACV 2024 Hypergraph Dynamic System ICLR 2024 Hyperspherical Classification with Dynamic Label-to-Prototype Assignment CVPR 2024 ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation EMNLP 2024 Identifiability Guarantees for Causal Disentanglement from Purely Observational Data NeurIPS 2024 Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NeurIPS 2024 Identifying Linear Relational Concepts in Large Language Models NAACL 2024 Identifying Representations for Intervention Extrapolation ICLR 2024 Identifying Selections for Unsupervised Subtask Discovery NeurIPS 2024 If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions EMNLP 2024 IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making IJCAI 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs NeurIPS 2024 IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation CVPR 2024 Improved Graph Contrastive Learning for Short Text Classification AAAI 2024 Improving Distinguishability of Class for Graph Neural Networks AAAI 2024 Improving Gloss-free Sign Language Translation by Reducing Representation Density NeurIPS 2024 Improving Multi-view Document Clustering: Leveraging Multi-structure Processor and Hybrid Ensemble Clustering Module COLING 2024 Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text ACL 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection NeurIPS 2024 In-context Autoencoder for Context Compression in a Large Language Model ICLR 2024 In-Context Symmetries: Self-Supervised Learning through Contextual World Models NeurIPS 2024 In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering ICML 2024 Individuation in Neural Models with and without Visual Grounding EMNLP 2024