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

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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)

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data ICLR 2024 MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering NeurIPS 2024 MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector ACL 2024 MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval CVPR 2024 My Climate Advisor: An Application of NLP in Climate Adaptation for Agriculture ACL 2024 Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences NAACL 2024 Narrative Action Evaluation with Prompt-Guided Multimodal Interaction CVPR 2024 Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles NAACL 2024 Nash CoT: Multi-Path Inference with Preference Equilibrium EMNLP 2024 Natural Language Can Help Bridge the Sim2Real Gap RSS 2024 Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners CVPR 2024 NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models AAAI 2024 Neural Active Learning Beyond Bandits ICLR 2024 Neural Active Learning Meets the Partial Monitoring Framework UAI 2024 Neural Causal Abstractions AAAI 2024 Neural decoding from stereotactic EEG: accounting for electrode variability across subjects NeurIPS 2024 Neural Fine-Tuning Search for Few-Shot Learning ICLR 2024 Neural processes with event triggers for fast adaptation to changes L4DC 2024 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NeurIPS 2024 NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design NeurIPS 2024 Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data ICLR 2024 Neuro-Symbolic Data Generation for Math Reasoning NeurIPS 2024 Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors ICLR 2024 New Datasets for Automatic Detection of Textual Entailment and of Contradictions between Sentences in French COLING 2024 News Deja Vu: Connecting Past and Present with Semantic Search NAACL 2024