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)

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning L4DC 2026 Adaptive Weighted Averaging COLT 2026 A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation JMLR 2026 A Dataset and Framework for Learning State-invariant Object Representations WACV 2026 A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation AAAI 2026 Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026 AdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment AAAI 2026 Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation AAAI 2026 Adversarial Decoding: Generating Readable Documents for Adversarial Objectives EACL 2026 Adversarial Fair Incomplete Multi-View Clustering AAAI 2026 Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles AAAI 2026 Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret COLT 2026 Adversarially Robust Multitask Adaptive Control L4DC 2026 Adversarial Metric Learning for Fine-Grained Emotion Classification ACL 2026 Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models AAAI 2026 Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning WACV 2026 AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection AAAI 2026 AEON: Adaptive Embedding Optimized Noise for Robust Watermarking in Diffusion Models WACV 2026 AerialMind: Towards Referring Multi-Object Tracking in UAV Scenarios AAAI 2026 Affordance-Guided Coarse-to-Fine Exploration for Base Placement in Open-Vocabulary Mobile Manipulation AAAI 2026 A Foundation Model for Brain MRI with Dynamic Modality Integration (Student Abstract) AAAI 2026 Agile Deliberation: Concept Deliberation for Subjective Visual Classification CVPR 2026 A Hybrid Learning-to-Optimize Framework for Mixed-Integer Quadratic Programming L4DC 2026 A Hybrid Space Model for Misaligned Multi-modality Image Fusion AAAI 2026 AI4PC-Howard University at SemEval-2026 Task 9: Evaluating Teacher-Student Weak Supervision and Direct LLM Prompting for Multilingual Political Polarization Detection SemEval 2026