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)

Occlusion Aware Unsupervised Learning of Optical Flow CVPR 2018 On Adversarial Examples for Character-Level Neural Machine Translation COLING 2018 One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning IJCAI 2018 One-Shot Unsupervised Cross Domain Translation NeurIPS 2018 On Fair Price Discrimination in Multi-Unit Markets IJCAI 2018 On gradient regularizers for MMD GANs NeurIPS 2018 On Learning Intrinsic Rewards for Policy Gradient Methods NeurIPS 2018 On Learning to Identify Genders from Raw Speech Signal Using CNNs Interspeech 2018 Online Adaptive Methods, Universality and Acceleration NeurIPS 2018 Online Boosting Algorithms for Multi-label Ranking AISTATS 2018 Online convex optimization for cumulative constraints NeurIPS 2018 Online Heterogeneous Transfer Metric Learning IJCAI 2018 Online Improper Learning with an Approximation Oracle NeurIPS 2018 Online Incremental Learning for Speaker-Adaptive Language Models Interspeech 2018 Online Kernel Selection via Incremental Sketched Kernel Alignment IJCAI 2018 Online Learning of Quantum States NeurIPS 2018 Online Learning Rate Adaptation with Hypergradient Descent ICLR 2018 Online Learning with Abstention ICML 2018 Online Linear Quadratic Control ICML 2018 Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations IJCAI 2018 Online Reciprocal Recommendation with Theoretical Performance Guarantees NeurIPS 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries NeurIPS 2018 Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting NeurIPS 2018 On Oracle-Efficient PAC RL with Rich Observations NeurIPS 2018 On preserving non-discrimination when combining expert advice NeurIPS 2018