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Learning Types

56,254 papers (3 classified directly here)

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

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,984) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023 Group Robust Classification Without Any Group Information NeurIPS 2023 GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence EMNLP 2023 GrowCLIP: Data-Aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-Training ICCV 2023 Growing a Brain with Sparsity-Inducing Generation for Continual Learning ICCV 2023 GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds CVPR 2023 GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets EMNLP 2023 GSLB: The Graph Structure Learning Benchmark NeurIPS 2023 GTA: Gated Toxicity Avoidance for LM Performance Preservation EMNLP 2023 G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network ACL 2023 Guided Deep Kernel Learning UAI 2023 GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps AAAI 2023 Guided Motion Diffusion for Controllable Human Motion Synthesis ICCV 2023 Guided Recommendation for Model Fine-Tuning CVPR 2023 Guideline Learning for In-Context Information Extraction EMNLP 2023 Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities EACL 2023 Guiding continuous operator learning through Physics-based boundary constraints ICLR 2023 Guiding Energy-based Models via Contrastive Latent Variables ICLR 2023 Guiding Large Language Models via Directional Stimulus Prompting NeurIPS 2023 Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers EMNLP 2023 Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation CVPR 2023 Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens ACL 2023 GUIT-NLP’s Submission to Shared Task: Low Resource Indic Language Translation EMNLP 2023 GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence NeurIPS 2023 GVdoc - Graph-based Visual DOcument Classification ACL 2023