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)

Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization NeurIPS 2021 Multi-Attentional Deepfake Detection CVPR 2021 Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) Wild Interspeech 2021 Multi-Channel Speaker Verification for Single and Multi-Talker Speech Interspeech 2021 Multiclass Boosting and the Cost of Weak Learning NeurIPS 2021 Multi-Dimensional Classification via Sparse Label Encoding ICML 2021 Multi-Dimensional Explanation of Target Variables from Documents AAAI 2021 Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021 Multi-Domain Multilingual Question Answering EMNLP 2021 Multi-Domain Multi-Task Rehearsal for Lifelong Learning AAAI 2021 Multi-Emotion Classification for Song Lyrics EACL 2021 MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer EMNLP 2021 Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency ICCV 2021 Multi-Facet Clustering Variational Autoencoders NeurIPS 2021 MultiFix: Learning to Repair Multiple Errors by Optimal Alignment Learning EMNLP 2021 Multi-Frame Recurrent Adversarial Network for Moving Object Segmentation WACV 2021 Multi-granularity Textual Adversarial Attack with Behavior Cloning EMNLP 2021 Multi-Hop Fact Checking of Political Claims IJCAI 2021 Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations CVPR 2021 Multi-Label Few-Shot Learning for Aspect Category Detection ACL 2021 Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021 Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs MLHC 2021 Multi-Label Learning From Single Positive Labels CVPR 2021 Multi-Label Learning with Pairwise Relevance Ordering NeurIPS 2021 Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021