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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)

Robust learning under clean-label attack COLT 2021 Robust Learning under Strong Noise via SQs AISTATS 2021 Robust Lightweight Facial Expression Recognition Network with Label Distribution Training AAAI 2021 Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021 Robustness and Generalization via Generative Adversarial Training ICCV 2021 Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text EMNLP 2021 Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing EMNLP 2021 Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021 Robustness Gym: Unifying the NLP Evaluation Landscape NAACL 2021 Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels AAAI 2021 Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks (Student Abstract) AAAI 2021 Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals AAAI 2021 Robustness via Cross-Domain Ensembles ICCV 2021 Robust Object Detection via Instance-Level Temporal Cycle Confusion ICCV 2021 Robust Online Convex Optimization in the Presence of Outliers COLT 2021 Robust Optimization for Multilingual Translation with Imbalanced Data NeurIPS 2021 Robust Overfitting may be mitigated by properly learned smoothening ICLR 2021 Robust Policy Gradient against Strong Data Corruption ICML 2021 Robust Regression for Monocular Depth Estimation ACML 2021 Robust Regularization with Adversarial Labelling of Perturbed Samples IJCAI 2021 Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation AAAI 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 Robust Representation Learning via Perceptual Similarity Metrics ICML 2021 Robust Retrieval Augmented Generation for Zero-shot Slot Filling EMNLP 2021