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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)

Overview of the Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) Shared Task at CASE 2024 EACL 2024 Overview of Third Shared Task on Homophobia and Transphobia Detection in Social Media Comments EACL 2024 OVMR: Open-Vocabulary Recognition with Multi-Modal References CVPR 2024 OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning ICLR 2024 OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning NeurIPS 2024 OxonFair: A Flexible Toolkit for Algorithmic Fairness NeurIPS 2024 P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering ICLR 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation IJCAI 2024 P2Seg: Pointly-supervised Segmentation via Mutual Distillation ICLR 2024 P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024 PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction IJCAI 2024 PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024 PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity COLING 2024 PAD: Patch-Agnostic Defense against Adversarial Patch Attacks CVPR 2024 PageRank Bandits for Link Prediction NeurIPS 2024 PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation AAAI 2024 PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024 PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning ACL 2024 Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion AAAI 2024 Paloma: A Benchmark for Evaluating Language Model Fit NeurIPS 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024