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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)
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Papers (including subtopics)

Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models ICLR 2025 Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels AAAI 2025 Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time EMNLP 2025 Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement ACL 2025 Two Losses, One Goal: Balancing Conflict Gradients for Semi-supervised Semantic Segmentation ICCV 2025 Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation ACL 2025 Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor AAAI 2025 Two-stage Incomplete Utterance Rewriting on Editing Operation COLING 2025 TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking ICLR 2025 Typographic Attacks in a Multi-Image Setting NAACL 2025 Typology-Guided Adaptation in Multilingual Models ACL 2025 UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark WACV 2025 UAlberta at SemEval-2025 Task 2: Prompting and Ensembling for Entity-Aware Translation SemEval 2025 UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models ACL 2025 UAlign: LLM Alignment Benchmark for the Ukrainian Language ACL 2025 UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions ACL 2025 UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks AAAI 2025 UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models NAACL 2025 UCL-Bench: A Chinese User-Centric Legal Benchmark for Large Language Models NAACL 2025 UCM-VeID V2: A Richer Dataset and A Pre-training Method for UAV Cross-Modality Vehicle Re-Identification CVPR 2025 UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning CVPR 2025 UCSP Submission to the AmericasNLP 2025 Shared Task NAACL 2025 UCS-SQL: Uniting Content and Structure for Enhanced Semantic Bridging In Text-to-SQL ACL 2025 UCTG: A Unified Controllable Text Generation Framework for Query Auto-Completion COLING 2025 UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models AAAI 2025