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)

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI CVPR 2024 Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images NeurIPS 2024 Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation AAAI 2024 Progressive Fourier Neural Representation for Sequential Video Compilation ICLR 2024 Progressive Poisoned Data Isolation for Training-Time Backdoor Defense AAAI 2024 Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning CVPR 2024 Project-Fair and Truthful Mechanisms for Budget Aggregation AAAI 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 ProLex: A Benchmark for Language Proficiency-oriented Lexical Substitution ACL 2024 Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP 2024 Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines ICML 2024 Promoting Constructive Deliberation: Reframing for Receptiveness EMNLP 2024 Promoting Counterfactual Robustness through Diversity AAAI 2024 Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread AAAI 2024 Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection CVPR 2024 PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection CVPR 2024 PromptAD: Zero-Shot Anomaly Detection Using Text Prompts WACV 2024 Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models NeurIPS 2024 Prompt Augmentation for Self-supervised Text-guided Image Manipulation CVPR 2024 Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024 Prompt-Based Length Controlled Generation with Multiple Control Types ACL 2024 Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation COLING 2024 Prompt-Driven Referring Image Segmentation with Instance Contrasting CVPR 2024 Prompt Engineering a Prompt Engineer ACL 2024 Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2024