Skip to content
conftrace_

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

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

Papers (including subtopics)

Context Encoders: Feature Learning by Inpainting CVPR 2016 Context-Sensitive and Role-Dependent Spoken Language Understanding Using Bidirectional and Attention LSTMs Interspeech 2016 Contextual Combinatorial Cascading Bandits ICML 2016 Continuous Deep Q-Learning with Model-based Acceleration ICML 2016 Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data Interspeech 2016 Convex Two-Layer Modeling with Latent Structure NeurIPS 2016 Convolutional Neural Fabrics NeurIPS 2016 Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm ICML 2016 Correcting Forecasts with Multifactor Neural Attention ICML 2016 Cost Sensitive Online Multiple Kernel Classification ACML 2016 Coupled Generative Adversarial Networks NeurIPS 2016 Couples Behavior Modeling and Annotation Using Low-Resource LSTM Language Models Interspeech 2016 CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval CVPR 2016 Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders JMLR 2016 Cross-Graph Learning of Multi-Relational Associations ICML 2016 Cross-Lingual Speaker Adaptation for Statistical Speech Synthesis Using Limited Data Interspeech 2016 Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control ICML 2016 Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NeurIPS 2016 Data Programming: Creating Large Training Sets, Quickly NeurIPS 2016 DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation CVPR 2016 DCM Bandits: Learning to Rank with Multiple Clicks ICML 2016 Deceptive Opinion Spam Detection Using Neural Network COLING 2016 Deconstructing the Ladder Network Architecture ICML 2016 Deconvolving Feedback Loops in Recommender Systems NeurIPS 2016