Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

No-Regret Prediction in Marginally Stable Systems COLT 2020 Normalization of Long-tail Adverse Drug Reactions in Social Media EMNLP 2020 Normalizing Compositional Structures Across Graphbanks COLING 2020 Normalizing Flows With Multi-Scale Autoregressive Priors CVPR 2020 Not All Attention Is Needed: Gated Attention Network for Sequence Data AAAI 2020 Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning NeurIPS 2020 #NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media ACL 2020 Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning AAAI 2020 Novelty Detection Via Blurring ICLR 2020 NPU Speaker Verification System for INTERSPEECH 2020 Far-Field Speaker Verification Challenge Interspeech 2020 NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications EMNLP 2020 NRC Systems for the 2020 Inuktitut-English News Translation Task EMNLP 2020 NUIG at SemEval-2020 Task 12: Pseudo Labelling for Offensive Content Classification SemEval 2020 NUIG: Multitasking Self-attention based approach to SigTyp 2020 Shared Task EMNLP 2020 NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training EMNLP 2020 NUT-RC: Noisy User-generated Text-oriented Reading Comprehension COLING 2020 Object-Centric Learning with Slot Attention NeurIPS 2020 Object Instance Mining for Weakly Supervised Object Detection AAAI 2020 Objective Mismatch in Model-based Reinforcement Learning L4DC 2020 Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020 Observational Overfitting in Reinforcement Learning ICLR 2020 OCR Post Correction for Endangered Language Texts EMNLP 2020 Octanove Labs’ Japanese-Chinese Open Domain Translation System ACL 2020 Offline Imitation Learning with a Misspecified Simulator NeurIPS 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020