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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)

PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair NeurIPS 2021 PML: Progressive Margin Loss for Long-Tailed Age Classification CVPR 2021 PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS Interspeech 2021 PNPDet: Efficient Few-Shot Detection Without Forgetting via Plug-and-Play Sub-Networks WACV 2021 Point2Skeleton: Learning Skeletal Representations from Point Clouds CVPR 2021 PointBA: Towards Backdoor Attacks in 3D Point Cloud ICCV 2021 PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021 PointNetLK Revisited CVPR 2021 Point-of-Interest Type Prediction using Text and Images EMNLP 2021 Points As Queries: Weakly Semi-Supervised Object Detection by Points CVPR 2021 Pointwise Binary Classification with Pairwise Confidence Comparisons ICML 2021 Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ACL 2021 Policy Caches with Successor Features ICML 2021 Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples ICLR 2021 Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021 Policy Learning Using Weak Supervision NeurIPS 2021 Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 2021 Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses NeurIPS 2021 Political Discourse Analysis: A Case Study of Code Mixing and Code Switching in Political Speeches NAACL 2021 Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models ACL 2021 Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learning Interspeech 2021 POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples NeurIPS 2021 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021 Pose Invariant Topological Memory for Visual Navigation ICCV 2021 Positional Encoding As Spatial Inductive Bias in GANs CVPR 2021