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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)

CASE 2021 Task 2: Zero-Shot Classification of Fine-Grained Sociopolitical Events with Transformer Models ACL 2021 CASTing Your Model: Learning To Localize Improves Self-Supervised Representations CVPR 2021 Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ICML 2021 CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning EMNLP 2021 CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing WACV 2021 CaT: Weakly Supervised Object Detection With Category Transfer ICCV 2021 Causal Attention for Unbiased Visual Recognition ICCV 2021 Causal Augmentation for Causal Sentence Classification EMNLP 2021 Causal Autoregressive Flows AISTATS 2021 Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NeurIPS 2021 Causal Bandits with Unknown Graph Structure NeurIPS 2021 Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021 Causal Effect Inference for Structured Treatments NeurIPS 2021 Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021 Causal Inference for Event Pairs in Multivariate Point Processes NeurIPS 2021 CCVS: Context-aware Controllable Video Synthesis NeurIPS 2021 CDLM: Cross-Document Language Modeling EMNLP 2021 CDS: Cross-Domain Self-Supervised Pre-Training ICCV 2021 CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching CVPR 2021 Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021 Challenges for Information Extraction from Dialogue in Criminal Law ACL 2021 Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval ACL 2021 Challenging distributional models with a conceptual network of philosophical terms NAACL 2021 Challenging the Semi-Supervised VAE Framework for Text Classification EMNLP 2021