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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)

UFCNet: Unsupervised Network based on Fourier transform and Convolutional attention for Oracle Character Recognition ACL 2024 UFDA: Universal Federated Domain Adaptation with Practical Assumptions AAAI 2024 UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation ACL 2024 UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training NeurIPS 2024 UKYNLP@SMM4H2024: Language Model Methods for Health Entity Tagging and Classification on Social Media (Tasks 4 & 5) ACL 2024 ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision ICML 2024 ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning EMNLP 2024 ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024 UltraEdit: Instruction-based Fine-Grained Image Editing at Scale NeurIPS 2024 UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs ACL 2024 UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset ACL 2024 UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training MIDL 2024 UltraMedical: Building Specialized Generalists in Biomedicine NeurIPS 2024 UltraSparseBERT: 99% Conditionally Sparse Language Modelling ACL 2024 UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures CVPR 2024 UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024 UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation SemEval 2024 UMB: Understanding Model Behavior for Open-World Object Detection NeurIPS 2024 UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers SemEval 2024 UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes SemEval 2024 Unbiased Active Semi-supervised Binary Classification Models IJCAI 2024 Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024 Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024 Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning ICLR 2024 Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024