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

20

29

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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

'5

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Papers (including subtopics)

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers ICLR 2024 ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting CVPR 2024 Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation NeurIPS 2024 Offensiveness, Hate, Emotion and GPT: Benchmarking GPT3.5 and GPT4 as Classifiers on Twitter-specific Datasets COLING 2024 Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff NeurIPS 2024 Off-Policy Selection for Initiating Human-Centric Experimental Design NeurIPS 2024 OHTA: One-shot Hand Avatar via Data-driven Implicit Priors CVPR 2024 Okay, Let’s Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation NAACL 2024 OMNI: Open-endedness via Models of human Notions of Interestingness ICLR 2024 OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning CVPR 2024 On Affine Homotopy between Language Encoders NeurIPS 2024 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024 On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024 On Differentially Private Federated Linear Contextual Bandits ICLR 2024 One For All: Towards Training One Graph Model For All Classification Tasks ICLR 2024 One Meta-tuned Transformer is What You Need for Few-shot Learning ICML 2024 OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting EMNLP 2024 One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models ICLR 2024 One-shot Federated Learning via Synthetic Distiller-Distillate Communication NeurIPS 2024 One-Shot Open Affordance Learning with Foundation Models CVPR 2024 One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ICLR 2024 One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NeurIPS 2024 On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion NeurIPS 2024 On Instruction-Finetuning Neural Machine Translation Models EMNLP 2024 Online Adaptation of Language Models with a Memory of Amortized Contexts NeurIPS 2024