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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)

ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection From RGB-Thermal Drone Imagery WACV 2024 Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification CVPR 2024 Shallow Diffusion for Fast Speech Enhancement (Student Abstract) AAAI 2024 Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents EMNLP 2024 Shape analysis for time series NeurIPS 2024 ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation CVPR 2024 ShapeWalk: Compositional Shape Editing Through Language-Guided Chains CVPR 2024 SharedCon: Implicit Hate Speech Detection using Shared Semantics ACL 2024 Sharpness-Aware Data Poisoning Attack ICLR 2024 Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization NeurIPS 2024 Sharpness-Aware Minimization and the Edge of Stability JMLR 2024 Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization AAAI 2024 SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning NAACL 2024 SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes SemEval 2024 Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection CoRL 2024 Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024 SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection CVPR 2024 Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction EMNLP 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NeurIPS 2024 Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning EMNLP 2024 Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing EMNLP 2024 Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research ACL 2024 Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding CVPR 2024 SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects EACL 2024 s-ID: Causal Effect Identification in a Sub-population AAAI 2024