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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)

Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training ACL 2021 Out-of-Town Recommendation with Travel Intention Modeling AAAI 2021 OVANet: One-vs-All Network for Universal Domain Adaptation ICCV 2021 Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks AAAI 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay AAAI 2021 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NeurIPS 2021 Overcoming Conflicting Data when Updating a Neural Semantic Parser EMNLP 2021 Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework EMNLP 2021 Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning NeurIPS 2021 Overparameterization Improves Robustness to Covariate Shift in High Dimensions NeurIPS 2021 Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks CVPR 2021 Paired Examples as Indirect Supervision in Latent Decision Models EMNLP 2021 Pairing Weak with Strong: Twin Models for Defending Against Adversarial Attack on Speaker Verification Interspeech 2021 Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks IJCAI 2021 Pairwise Supervised Contrastive Learning of Sentence Representations EMNLP 2021 Paladin: an annotation tool based on active and proactive learning EACL 2021 PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation SemEval 2021 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021 Papago’s Submissions to the WMT21 Triangular Translation Task EMNLP 2021 Paradigm Clustering with Weighted Edit Distance ACL 2021 Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics ICML 2021 Parallel Constraint Acquisition AAAI 2021 Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection ICCV 2021