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)

Towards Understanding Parametric Generalized Category Discovery on Graphs ICML 2025 Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective ICLR 2025 Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning ICLR 2025 Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments AAAI 2025 Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network CVPR 2025 Towards Universal Dataset Distillation via Task-Driven Diffusion CVPR 2025 Towards Universal Debiasing for Language Models-based Tabular Data Generation EMNLP 2025 Towards Unsupervised Blind Face Restoration using Diffusion Prior WACV 2025 Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding ICCV 2025 Towards Visual Localization Interoperability: Cross-Feature for Collaborative Visual Localization and Mapping ICCV 2025 Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection IJCAI 2025 Towards Zero-Shot 3D Anomaly Localization WACV 2025 Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models CVPR 2025 Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation AAAI 2025 TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning EMNLP 2025 TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos ICCV 2025 Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 Tracing Copied Pixels and Regularizing Patch Affinity in Copy Detection ICCV 2025 TrackAny3D: Transferring Pretrained 3D Models for Category-unified 3D Point Cloud Tracking ICCV 2025 Tracking Evolving Relationship Between Characters in Books in the Era of Large Language Models NAACL 2025 Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images ICLR 2025 Tracking Universal Features Through Fine-Tuning and Model Merging NAACL 2025 TrackVerse: A Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning ICCV 2025 Trade-offs in Image Generation: How Do Different Dimensions Interact? ICCV 2025