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)

Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles WACV 2025 Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics ICML 2025 Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications ACL 2025 GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning ACL 2025 Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents EMNLP 2025 GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents ACL 2025 GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition AAAI 2025 GUIDEX: Guided Synthetic Data Generation for Zero-Shot Information Extraction ACL 2025 Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction ICCV 2025 Guiding Through Complexity: What Makes Good Supervision for Hard Reasoning Tasks? NAACL 2025 Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types COLING 2025 GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent ACL 2025 GWM: Towards Scalable Gaussian World Models for Robotic Manipulation ICCV 2025 H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection CVPR 2025 Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard Detection SemEval 2025 HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring ACL 2025 HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks AISTATS 2025 HAF-RM: A Hybrid Alignment Framework for Reward Model Training ACL 2025 Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis IJCAI 2025 Hallucination Detection in LLMs Using Spectral Features of Attention Maps EMNLP 2025 Hallucination Detection in Structured Query Generation via LLM Self-Debating EMNLP 2025 Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency IJCAI 2025 HalluLens: LLM Hallucination Benchmark ACL 2025 HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID ICCV 2025 Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation NAACL 2025