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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12

24

14

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Fine-tuning Smaller Language Models for Question Answering over Financial Documents EMNLP 2024 Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models ACL 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 FIRST: Faster Improved Listwise Reranking with Single Token Decoding EMNLP 2024 First-Order Minimax Bilevel Optimization NeurIPS 2024 Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024 Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training Samples NAACL 2024 (FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NeurIPS 2024 FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction ICML 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks Interspeech 2024 Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NeurIPS 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NeurIPS 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 Flow-Guided Online Stereo Rectification for Wide Baseline Stereo CVPR 2024 FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning CoRL 2024 Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation ICLR 2024 F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation NAACL 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NeurIPS 2024 F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning NeurIPS 2024 FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NeurIPS 2024 Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to Luxembourgish COLING 2024 FREE: Faster and Better Data-Free Meta-Learning CVPR 2024