conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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66

53

67

103

206

482

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1,124

1,566

1,867

2,410

2,658

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856

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Papers (including subtopics)

Weak-to-Strong Reasoning EMNLP 2024 Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation IJCAI 2024 Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning AAAI 2024 WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control NeurIPS 2024 What Algorithms can Transformers Learn? A Study in Length Generalization ICLR 2024 What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases NAACL 2024 What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024 What explains the success of cross-modal fine-tuning with ORCA? NAACL 2024 What Matters to You? Towards Visual Representation Alignment for Robot Learning ICLR 2024 What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs EMNLP 2024 What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NeurIPS 2024 What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions CVPR 2024 When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations ICLR 2024 When is an Embedding Model More Promising than Another? NeurIPS 2024 When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024 Where are you from? Geolocating Speech and Applications to Language Identification NAACL 2024 Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages AAAI 2024 Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? EMNLP 2024 Why Go Full? Elevating Federated Learning Through Partial Network Updates NeurIPS 2024 WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models COLING 2024 WikiSplit++: Easy Data Refinement for Split and Rephrase COLING 2024 Wings: Learning Multimodal LLMs without Text-only Forgetting NeurIPS 2024 WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles ACL 2024 With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning IJCAI 2024 With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models EMNLP 2024