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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)

Utilitarian Algorithm Configuration for Infinite Parameter Spaces ICLR 2025 UT-NLP at SemEval-2025 Task 11: Evaluating Zero-Shot Capability of GPT-4o mini on Emotion Recognition via Role-Play and Contrastive Judging SemEval 2025 UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting ACL 2025 Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision AAAI 2025 UvA-MT at WMT25 Evaluation Task: LLM Uncertainty as a Proxy for Translation Quality EMNLP 2025 UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping ICLR 2025 U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration ICCV 2025 UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing CVPR 2025 UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination Detection SemEval 2025 V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy CVPR 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning UAI 2025 Valid Bootstraps for Network Embeddings with Applications to Network Visualisation UAI 2025 Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items ACL 2025 VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025 VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs NAACL 2025 VAQUUM: Are Vague Quantifiers Grounded in Visual Data? ACL 2025 Variable Extraction for Model Recovery in Scientific Literature NAACL 2025 Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits AISTATS 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025 Variance-Dependent Regret Bounds for Nonstationary Linear Bandits AISTATS 2025 Variational Adversarial Training Towards Policies with Improved Robustness AISTATS 2025 Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction IJCAI 2025 Variational Offline Multi-agent Skill Discovery IJCAI 2025 Variational Search Distributions ICLR 2025 Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only ICLR 2025