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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)

UOREX: Towards Uncertainty-Aware Open Relation Extraction NAACL 2025 UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation SemEval 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation CVPR 2025 UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis ICCV 2025 UR2N: Unified Retriever and ReraNker COLING 2025 UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios AAAI 2025 URLOST: Unsupervised Representation Learning without Stationarity or Topology ICLR 2025 URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration CVPR 2025 USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation AAAI 2025 User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems ACL 2025 Using Encipherment to Isolate Conditions for the Successful Fine-tuning of Massively Multilingual Translation Models EMNLP 2025 Using Linguistic Entrainment to Evaluate Large Language Models for Use in Cognitive Behavioral Therapy NAACL 2025 Using LLMs and Preference Optimization for Agreement-Aware HateWiC Classification ACL 2025 Using LLMs to Advance Idiom Corpus Construction NAACL 2025 Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia NAACL 2025 Using LLMs to improve RL policies in personalized health adaptive interventions NAACL 2025 Using Multimodal Models for Informative Classification of Ambiguous Tweets in Crisis Response NAACL 2025 Using Next Sentence Prediction to Test ChatGPT’s Text Comprehension (Student Abstract) AAAI 2025 Using Review Combination and Pseudo-Tokens for Aspect Sentiment Quad Prediction NAACL 2025 Using tournaments to calculate AUROC for zero-shot classification with LLMs EMNLP 2025 USP: Unified Self-Supervised Pretraining for Image Generation and Understanding ICCV 2025 Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss SemEval 2025 UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench ACL 2025 UTER: Capturing the Human Touch in Evaluating Morphologically Rich and Low-Resource Languages NAACL 2025 UTF: Under-trained Tokens as Fingerprints —— a Novel Approach to LLM Identification ACL 2025