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Learning Types

56,253 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 (1,983) 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)

Better Generative Replay for Continual Federated Learning ICLR 2023 Better Practices for Domain Adaptation AutoML 2023 Better Quality Pre-training Data and T5 Models for African Languages EMNLP 2023 Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NeurIPS 2023 Better Zero-Shot Reasoning with Self-Adaptive Prompting ACL 2023 BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation ICCV 2023 BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision CVPR 2023 Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks CVPR 2023 Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions NeurIPS 2023 Beyond Black Box AI generated Plagiarism Detection: From Sentence to Document Level ACL 2023 Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities AAAI 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality NeurIPS 2023 Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023 Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NeurIPS 2023 Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction EMNLP 2023 Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering ICML 2023 Beyond In-Domain Scenarios: Robust Density-Aware Calibration ICML 2023 Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations NeurIPS 2023 Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture EMNLP 2023 Beyond mAP: Towards Better Evaluation of Instance Segmentation CVPR 2023 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NeurIPS 2023 Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023 Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense NeurIPS 2023 Beyond Reward: Offline Preference-guided Policy Optimization ICML 2023