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)

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets ICML 2022 Open-Set Text Recognition via Character-Context Decoupling CVPR 2022 OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology NeurIPS 2022 OpenTAL: Towards Open Set Temporal Action Localization CVPR 2022 Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning EMNLP 2022 Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification AAAI 2022 Open Vocabulary Extreme Classification Using Generative Models ACL 2022 Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling CVPR 2022 Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation CVPR 2022 Open World Classification with Adaptive Negative Samples EMNLP 2022 Open-World Semi-Supervised Learning ICLR 2022 Operative dimensions in unconstrained connectivity of recurrent neural networks NeurIPS 2022 Operator Splitting Value Iteration NeurIPS 2022 OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models ACL 2022 Opinion Summarization by Weak-Supervision from Mix-structured Data EMNLP 2022 Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits ICML 2022 Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022 Optimal Clustering with Noisy Queries via Multi-Armed Bandit ICML 2022 Optimal Dynamic Regret in LQR Control NeurIPS 2022 Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022 Optimally Controllable Perceptual Lossy Compression ICML 2022 (Optimal) Online Bipartite Matching with Degree Information NeurIPS 2022 Optimal Positive Generation via Latent Transformation for Contrastive Learning NeurIPS 2022 Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022 Optimal Representations for Covariate Shift ICLR 2022