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)

Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation CVPR 2023 Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation EMNLP 2023 Black-Box Unsupervised Domain Adaptation with Bi-Directional Atkinson-Shiffrin Memory ICCV 2023 BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric ACL 2023 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023 Blemish-Aware and Progressive Face Retouching With Limited Paired Data CVPR 2023 BlendFields: Few-Shot Example-Driven Facial Modeling CVPR 2023 Blending Advertising with Organic Content in E-commerce via Virtual Bids AAAI 2023 BLESS: Benchmarking Large Language Models on Sentence Simplification EMNLP 2023 Blessing of Class Diversity in Pre-training AISTATS 2023 BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training ACL 2023 Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective CVPR 2023 BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models ICML 2023 BLM-s/lE: A structured dataset of English spray-load verb alternations for testing generalization in LLMs EMNLP 2023 BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting ACL 2023 BLP-2023 Task 2: Sentiment Analysis EMNLP 2023 Blurred-Dilated Method for Adversarial Attacks NeurIPS 2023 BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming ICML 2023 Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction ICCV 2023 BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification ICCV 2023 Boosted Off-Policy Learning AISTATS 2023 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 Boosting Adversarial Transferability by Achieving Flat Local Maxima NeurIPS 2023 Boosting Adversarial Transferability via Gradient Relevance Attack ICCV 2023 Boosting Causal Discovery via Adaptive Sample Reweighting ICLR 2023