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)

Adversarial Alignment for Source Free Object Detection AAAI 2023 Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend IJCAI 2023 Adversarial Attacks on Adversarial Bandits ICLR 2023 Adversarial Attacks on Online Learning to Rank with Click Feedback NeurIPS 2023 Adversarial Bayesian Augmentation for Single-Source Domain Generalization ICCV 2023 Adversarial Behavior Exclusion for Safe Reinforcement Learning IJCAI 2023 Adversarial Cheap Talk ICML 2023 Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems ACL 2023 Adversarial Collaborative Learning on Non-IID Features ICML 2023 Adversarial Counterfactual Environment Model Learning NeurIPS 2023 Adversarial Counterfactual Visual Explanations CVPR 2023 Adversarial De-confounding in Individualised Treatment Effects Estimation AISTATS 2023 Adversarial Diffusion Probability Model For Cross-domain Speaker Verification Integrating Contrastive Loss Interspeech 2023 Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023 Adversarial Examples Are Not Real Features NeurIPS 2023 Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness NeurIPS 2023 Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff ICCV 2023 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023 Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners ACL 2023 Adversarial Learning for Feature Shift Detection and Correction NeurIPS 2023 Adversarial Learning of Distributional Reinforcement Learning ICML 2023 Adversarial Learning of Intermediate Acoustic Feature for End-to-End Lightweight Text-to-Speech Interspeech 2023 Adversarial Local Distribution Regularization for Knowledge Distillation WACV 2023 Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation CVPR 2023 Adversarially Robust Learning with Tolerance ALT 2023