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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)

Fourier Sparse Leverage Scores and Approximate Kernel Learning NeurIPS 2020 FQuAD: French Question Answering Dataset EMNLP 2020 Frame-Wise Online Unsupervised Adaptation of DNN-HMM Acoustic Model from Perspective of Robust Adaptive Filtering Interspeech 2020 Frequentist Regret Bounds for Randomized Least-Squares Value Iteration AISTATS 2020 From Boltzmann Machines to Neural Networks and Back Again NeurIPS 2020 From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer EMNLP 2020 From English to Code-Switching: Transfer Learning with Strong Morphological Clues ACL 2020 From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement CVPR 2020 From Finite to Countable-Armed Bandits NeurIPS 2020 From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks AACL 2020 From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks CVPR 2020 From Importance Sampling to Doubly Robust Policy Gradient ICML 2020 From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech ICLR 2020 From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains ACL 2020 From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers EMNLP 2020 FR-Train: A Mutual Information-Based Approach to Fair and Robust Training ICML 2020 FrugalML: How to use ML Prediction APIs more accurately and cheaply NeurIPS 2020 Frugal Paradigm Completion ACL 2020 FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation CVPR 2020 Fully Convolutional Network for Consistent Voxel-Wise Correspondence AAAI 2020 Functionality Discovery and Prediction of Physical Objects AAAI 2020 Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging JMLR 2020 Functional Regularization for Representation Learning: A Unified Theoretical Perspective NeurIPS 2020 Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations ICML 2020 FX-GAN: Self-Supervised GAN Learning via Feature Exchange WACV 2020