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)

Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition AAAI 2025 Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation ICLR 2025 Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning IJCAI 2025 Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction NAACL 2025 FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data EMNLP 2025 Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction AAAI 2025 FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025 FastMCTS: A Simple Sampling Strategy for Data Synthesis ACL 2025 Fast Multi-Instance Partial-Label Learning AAAI 2025 Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models EMNLP 2025 Fast Quiet-STaR: Thinking Without Thought Tokens EMNLP 2025 Fathom: A Fast and Modular RAG Pipeline for Fact-Checking ACL 2025 FaVe: Factored and Verified Search Rationale for Long-form Answer ACL 2025 FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs’ Responsiveness to Human Feedback EMNLP 2025 FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025 FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts EMNLP 2025 FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis IJCAI 2025 FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning ACL 2025 FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning AAAI 2025 Feasible Learning AISTATS 2025 Feature Augmentation Based Test-Time Adaptation WACV 2025 Feature-Based Online Bilateral Trade ICLR 2025 Feature Clipping for Uncertainty Calibration AAAI 2025 Feature Decomposition-Augmentation Network for Multimodal Sentiment Analysis IJCNLP 2025 Feature Decomposition-Recomposition in Large Vision-Language Model for Few-Shot Class-Incremental Learning ICCV 2025