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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)

Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022 Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation ICML 2022 SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals ICML 2022 Sort by Structure: Language Model Ranking as Dependency Probing NAACL 2022 Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge NeurIPS 2022 Sound and Visual Representation Learning With Multiple Pretraining Tasks CVPR 2022 SoundDoA: Learn Sound Source Direction of Arrival and Semantics from Sound Raw Waveforms Interspeech 2022 Source-Free Domain Adaptation via Distribution Estimation CVPR 2022 SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding COLING 2022 SPAct: Self-Supervised Privacy Preservation for Action Recognition CVPR 2022 SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition EMNLP 2022 Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing AACL 2022 SparCL: Sparse Continual Learning on the Edge NeurIPS 2022 Sparse and Complete Latent Organization for Geospatial Semantic Segmentation CVPR 2022 SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification AISTATS 2022 Sparse Object-Level Supervision for Instance Segmentation With Pixel Embeddings CVPR 2022 Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks AAAI 2022 Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification AAAI 2022 Sparse Winning Tickets are Data-Efficient Image Recognizers NeurIPS 2022 Sparsity Winning Twice: Better Robust Generalization from More Efficient Training ICLR 2022 Spatial-aware Speaker Diarizaiton for Multi-channel Multi-party Meeting Interspeech 2022 Spatial Frequency Bias in Convolutional Generative Adversarial Networks AAAI 2022 Spatial Loss for Unsupervised Multi-channel Source Separation Interspeech 2022 Spatial Mixture-of-Experts NeurIPS 2022 Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation AAAI 2022