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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)

Robustly-reliable learners under poisoning attacks COLT 2022 Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile ICML 2022 Robust Models are less Over-Confident NeurIPS 2022 Robust MT Evaluation with Sentence-level Multilingual Augmentation EMNLP 2022 Robust Multi-Objective Reinforcement Learning with Dynamic Preferences ACML 2022 Robustness Analysis of Video-Language Models Against Visual and Language Perturbations NeurIPS 2022 Robustness and Accuracy Could Be Reconcilable by (Proper) Definition ICML 2022 Robustness and Reliability When Training With Noisy Labels AISTATS 2022 Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training AACL 2022 Robustness of Demonstration-based Learning Under Limited Data Scenario EMNLP 2022 Robustness to Label Noise Depends on the Shape of the Noise Distribution NeurIPS 2022 Robustness Verification for Contrastive Learning ICML 2022 Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning NeurIPS 2022 Robust Optimal Classification Trees against Adversarial Examples AAAI 2022 Robust Optimization As Data Augmentation for Large-Scale Graphs CVPR 2022 Robust Outlier Detection by De-Biasing VAE Likelihoods CVPR 2022 Robust Policy Learning over Multiple Uncertainty Sets ICML 2022 Robust Product Classification with Instance-Dependent Noise ACL 2022 Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study EMNLP 2022 Robust Region Feature Synthesizer for Zero-Shot Object Detection CVPR 2022 Robust Reinforcement Learning using Offline Data NeurIPS 2022 Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting NAACL 2022 Robust Self-Supervised Audio-Visual Speech Recognition Interspeech 2022 Robust Semi-Supervised Learning when Not All Classes have Labels NeurIPS 2022 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction IJCAI 2022