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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)

Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard Detection SemEval 2025 𝜙-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation ACL 2025 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis ICLR 2024 Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning NeurIPS 2024 0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI task SemEval 2024 1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis Interspeech 2024 1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP 2024 1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation WACV 2024 2D-OOB: Attributing Data Contribution Through Joint Valuation Framework NeurIPS 2024 3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation ICLR 2024 3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset IJCAI 2024 3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces CVPR 2024 3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability NeurIPS 2024 3SD: Self-Supervised Saliency Detection With No Labels WACV 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs NeurIPS 2024 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NeurIPS 2024 A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NeurIPS 2024 AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning AAAI 2024 AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness SemEval 2024 AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes IJCAI 2024 AAST-NLP at ClimateActivism 2024: Ensemble-Based Climate Activism Stance and Hate Speech Detection : Leveraging Pretrained Language Models EACL 2024 A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives CVPR 2024 A Bayesian Approach to Data Point Selection NeurIPS 2024