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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)

Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition CVPR 2024 Partial Label Learning with a Partner AAAI 2024 Partial Multi-View Clustering via Self-Supervised Network AAAI 2024 Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning IJCAI 2024 Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits NeurIPS 2024 Part-of-speech Tagging for Extremely Low-resource Indian Languages ACL 2024 Part-of-Speech Tagging for Northern Kurdish COLING 2024 PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness CVPR 2024 PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph COLING 2024 Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching CVPR 2024 Patch-Aware Sample Selection for Efficient Masked Image Modeling AAAI 2024 Patch-Wise Graph Contrastive Learning for Image Translation AAAI 2024 Paying Attention to Deflections: Mining Pragmatic Nuances for Whataboutism Detection in Online Discourse ACL 2024 PCAD: Towards ASR-Robust Spoken Language Understanding via Prototype Calibration and Asymmetric Decoupling ACL 2024 Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity EMNLP 2024 PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding NeurIPS 2024 PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders NeurIPS 2024 PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation CVPR 2024 PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers ECCV 2024 PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning NeurIPS 2024 PEAR at SemEval-2024 Task 1: Pair Encoding with Augmented Re-sampling for Semantic Textual Relatedness SemEval 2024 Pearl: A Production-Ready Reinforcement Learning Agent JMLR 2024 PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents EMNLP 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NeurIPS 2024 PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment WACV 2024