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)

ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control ACL 2025 ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations EMNLP 2025 Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification ICLR 2025 Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025 Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness ICLR 2025 ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning EMNLP 2025 Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL AAAI 2025 Cooperative Pseudo Labeling for Unsupervised Federated Classification ICCV 2025 Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography ICCV 2025 CoPL: Collaborative Preference Learning for Personalizing LLMs EMNLP 2025 CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction AAAI 2025 COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025 Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection AAAI 2025 Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies AISTATS 2025 CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture EMNLP 2025 CoralSRT: Revisiting Coral Reef Semantic Segmentation by Feature Rectification via Self-supervised Guidance ICCV 2025 CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation NAACL 2025 CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation ACL 2025 Coreference as an indicator of context scope in multimodal narrative ACL 2025 CoreFour_IIITK@DravidianLangTech 2025: Abusive Content Detection Against Women Using Machine Learning And Deep Learning Models NAACL 2025 Core Knowledge Learning Framework for Graph AAAI 2025 Coreset Selection via Reducible Loss in Continual Learning ICLR 2025 CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking ICLR 2025 Corpus Poisoning via Approximate Greedy Gradient Descent ACL 2025 CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation ICCV 2025