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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)

Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation EMNLP 2025 PLeaS - Merging Models with Permutations and Least Squares CVPR 2025 PLLuM-Align: Polish Preference Dataset for Large Language Model Alignment EMNLP 2025 PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning WACV 2025 p-Mean Regret for Stochastic Bandits AAAI 2025 P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs EMNLP 2025 PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models EMNLP 2025 PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning IJCAI 2025 Podcast Outcasts: Understanding Rumble’s Podcast Dynamics NAACL 2025 Poetry in RAGs: Modern Greek interwar poetry generation using RAG and contrastive training NAACL 2025 POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning AAAI 2025 Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances CVPR 2025 Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis CVPR 2025 Point Cloud Color Upsampling with Attention-Based Coarse Colorization and Refinement WACV 2025 Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning IJCAI 2025 Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner ICCV 2025 Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations AAAI 2025 PointGAC: Geometric-Aware Codebook for Masked Point Modeling ICCV 2025 Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models EMNLP 2025 Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud WACV 2025 PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning CVPR 2025 PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection ICLR 2025 Point-SAM: Promptable 3D Segmentation Model for Point Clouds ICLR 2025 POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion EMNLP 2025 PointSR: Self-Regularized Point Supervision for Drone-View Object Detection CVPR 2025