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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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2000
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Papers (including subtopics)

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching CVPR 2021 AdaXpert: Adapting Neural Architecture for Growing Data ICML 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 Addressing Class Imbalance in Federated Learning AAAI 2021 Addressing the Long-term Impact of ML Decisions via Policy Regret IJCAI 2021 Addressing the Vulnerability of NMT in Input Perturbations NAACL 2021 A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021 A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021 A Deep Learning Method to Multi-Channel Active Noise Control Interspeech 2021 A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving AAAI 2021 A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021 A Deliberation-Based Joint Acoustic and Text Decoder Interspeech 2021 A Discriminative Technique for Multiple-Source Adaptation ICML 2021 A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews NAACL 2021 A Distribution-dependent Analysis of Meta Learning ICML 2021 Adjunct-Emeritus Distillation for Semi-Supervised Language Model Adaptation Interspeech 2021 Admix: Enhancing the Transferability of Adversarial Attacks ICCV 2021 A DQN-based Approach to Finding Precise Evidences for Fact Verification ACL 2021 Advances and Challenges in Unsupervised Neural Machine Translation EACL 2021 AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment AAAI 2021 AdvDrop: Adversarial Attack to DNNs by Dropping Information ICCV 2021 Adversarial Attack against Cross-lingual Knowledge Graph Alignment EMNLP 2021 Adversarial Attack Generation Empowered by Min-Max Optimization NeurIPS 2021