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

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Papers (including subtopics)

Language Model Based Text-to-Audio Generation: Anti-Causally Aligned Collaborative Residual Transformers EMNLP 2025 Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions ACL 2025 Language Models are Crossword Solvers NAACL 2025 Language Models Lack Temporal Generalization and Bigger is Not Better ACL 2025 Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution AAAI 2025 Large Language Models Are Cross-Lingual Knowledge-Free Reasoners NAACL 2025 Large Language Models are Demonstration Pre-Selectors for Themselves ICML 2025 Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025 Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition ACL 2025 Large-Scale Corpus Construction and Retrieval-Augmented Generation for Ancient Chinese Poetry: New Method and Data Insights NAACL 2025 Large Scale Knowledge Washing ICLR 2025 Large (Vision) Language Models are Unsupervised In-Context Learners ICLR 2025 LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models ICLR 2025 Latent Action Pretraining from Videos ICLR 2025 Latent Bayesian Optimization via Autoregressive Normalizing Flows ICLR 2025 LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion. CVPR 2025 Latent Traits and Cross-Task Transfer: Deconstructing Dataset Interactions in LLM Fine-tuning EMNLP 2025 LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts WACV 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025 LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain NAACL 2025 Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models ICLR 2025 LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models EMNLP 2025 LeanAgent: Lifelong Learning for Formal Theorem Proving ICLR 2025 Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments ICLR 2025 Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025