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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)

Fair and Efficient Online Allocations with Normalized Valuations AAAI 2021 Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021 Fair Classification with Adversarial Perturbations NeurIPS 2021 Fair Exploration via Axiomatic Bargaining NeurIPS 2021 FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders ICLR 2021 FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search ICCV 2021 Fairness-aware Class Imbalanced Learning EMNLP 2021 Fairness-aware News Recommendation with Decomposed Adversarial Learning AAAI 2021 Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021 Fairness of Exposure in Stochastic Bandits ICML 2021 Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints AAAI 2021 Fair Selective Classification Via Sufficiency ICML 2021 Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks AAAI 2021 FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations EMNLP 2021 FANS: Fusing ASR and NLU for On-Device SLU Interspeech 2021 FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter CVPR 2021 Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021 Far-Field Speaker Localization and Adaptive GLMB Tracking Interspeech 2021 FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation ICCV 2021 Fast Abductive Learning by Similarity-based Consistency Optimization NeurIPS 2021 Fast active learning for pure exploration in reinforcement learning ICML 2021 Fast Algorithms for L_∞-constrained S-rectangular Robust MDPs NeurIPS 2021 Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss ICML 2021 Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients AAAI 2021 Fast And Slow Learning Of Recurrent Independent Mechanisms ICLR 2021