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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)

PIAD: Pose and Illumination agnostic Anomaly Detection CVPR 2025 PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance ICLR 2025 PICASSO: A Feed-Forward Framework for Parametric Inference of CAD Sketches via Rendering Self-Supervision WACV 2025 Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research EMNLP 2025 Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry IJCAI 2025 PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization ACL 2025 PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free ACL 2025 Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning CVPR 2025 Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025 PIPER: Benchmarking and Prompting Event Reasoning Boundary of LLMs via Debiasing-Distillation Enhanced Tuning ACL 2025 PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots WACV 2025 Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability ICML 2025 Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models AAAI 2025 Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach CVPR 2025 Pixel Phantoms at SemEval-2025 Task 11: Enhancing Multilingual Emotion Detection with a T5 and mT5-Based Approach SemEval 2025 PixelStitch: Structure-Preserving Pixel-Wise Bidirectional Warps for Unsupervised Image Stitching ICCV 2025 Planar Gaussian Splatting WACV 2025 Planning and Learning in Risk-Aware Restless Multi-Arm Bandits AISTATS 2025 PLAN: Proactive Low-Rank Allocation for Continual Learning ICCV 2025 PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving EMNLP 2025 PLA: Prompt Learning Attack against Text-to-Image Generative Models ICCV 2025 Plastic Learning with Deep Fourier Features ICLR 2025 PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play ACL 2025 Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy CVPR 2025 Playpen: An Environment for Exploring Learning From Dialogue Game Feedback EMNLP 2025