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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)

OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching ACL 2025 P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts ACL 2025 p²-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models IJCNLP 2025 PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency ICCV 2025 Page Stream Segmentation with LLMs: Challenges and Applications in Insurance Document Automation COLING 2025 PahGen: Generating Ancient Pahlavi Text via Grammar-guided Zero-shot Translation NAACL 2025 PAI at SemEval-2025 Task 11: A Large Language Model Ensemble Strategy for Text-Based Emotion Detection SemEval 2025 Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025 Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy ICLR 2025 Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection NAACL 2025 PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements EMNLP 2025 PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment IJCAI 2025 PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation AAAI 2025 PANDA - Paired Anti-hate Narratives Dataset from Asia: Using an LLM-as-a-Judge to Create the First Chinese Counterspeech Dataset COLING 2025 PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling ICML 2025 Pangram at GenAI Detection Task 3: An Active Learning Approach to Machine-Generated Text Detection COLING 2025 PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory ACL 2025 Parabolic Continual Learning AISTATS 2025 Paragraph-level Error Correction and Explanation Generation: Case Study for Estonian ACL 2025 Parallel Corpora for Machine Translation in Low-Resource Indic Languages: A Comprehensive Review NAACL 2025 Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA AAAI 2025 Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths ACL 2025 Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 Parameter estimation in state space models using particle importance sampling AISTATS 2025