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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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Papers (including subtopics)

Interpolation-Based Semi-Supervised Learning for Object Detection CVPR 2021 Interpolation can hurt robust generalization even when there is no noise NeurIPS 2021 Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder NAACL 2021 Interpretable agent communication from scratch (with a generic visual processor emerging on the side) NeurIPS 2021 Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making ACL 2021 Interpretable Minority Synthesis for Imbalanced Classification IJCAI 2021 Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders AAAI 2021 Interpreting and Boosting Dropout from a Game-Theoretic View ICLR 2021 Interpreting Attributions and Interactions of Adversarial Attacks ICCV 2021 Interpreting Text Classifiers by Learning Context-sensitive Influence of Words NAACL 2021 INTERSPEECH 2021 Acoustic Echo Cancellation Challenge Interspeech 2021 Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks IJCAI 2021 Interventional Video Grounding With Dual Contrastive Learning CVPR 2021 Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds ICLR 2021 Intraclass clustering: an implicit learning ability that regularizes DNNs ICLR 2021 Intra-Inter Camera Similarity for Unsupervised Person Re-Identification CVPR 2021 Intriguing Properties of Contrastive Losses NeurIPS 2021 Intriguing Properties of Vision Transformers NeurIPS 2021 Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks AAAI 2021 Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021 Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer ICCV 2021 Introduction to Machine Learning with Robots and Playful Learning AAAI 2021 Invariant Causal Imitation Learning for Generalizable Policies NeurIPS 2021 Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning L4DC 2021 Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation AAAI 2021