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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)

Zero-Shot Action Generalization with Limited Observations AISTATS 2025 Zero-Shot ATC Coding with Large Language Models for Clinical Assessments NAACL 2025 Zero_Shot at SemEval-2025 Task 11: Fine-Tuning Deep Learning and Transformer-based Models for Emotion Detection in Multi-label Classification, Intensity Estimation, and Cross-lingual Adaptation SemEval 2025 Zero-Shot Belief: A Hard Problem for LLMs EMNLP 2025 Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling CVPR 2025 Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025 Zero-Shot Compositional Video Learning with Coding Rate Reduction ICCV 2025 Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints AAAI 2025 Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation EMNLP 2025 Zero-Shot Conversational Stance Detection: Dataset and Approaches ACL 2025 Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs EMNLP 2025 Zero-Shot Entailment Learning for Ontology-Based Biomedical Annotation Without Explicit Mentions COLING 2025 Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025 Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models EMNLP 2025 Zero-shot forecasting of chaotic systems ICLR 2025 Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts IJCAI 2025 Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels IJCNLP 2025 Zero-Shot Image Captioning with Multi-type Entity Representations AAAI 2025 Zero-shot Inexact CAD Model Alignment from a Single Image ICCV 2025 Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models NAACL 2025 Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline AAAI 2025 Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models AAAI 2025 Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation IJCAI 2025 Zero-shot Model-based Reinforcement Learning using Large Language Models ICLR 2025 Zero-Shot Mono-to-Binaural Speech Synthesis Interspeech 2025