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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)

ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation SemEval 2024 ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision WACV 2024 Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation ACML 2024 Clustering Items From Adaptively Collected Inconsistent Feedback AISTATS 2024 Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers NeurIPS 2024 Cluster-Norm for Unsupervised Probing of Knowledge EMNLP 2024 CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection AAAI 2024 CMD: a framework for Context-aware Model self-Detoxification EMNLP 2024 CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset ACL 2024 CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning IJCAI 2024 CM-Off-Meme: Code-Mixed Hindi-English Offensive Meme Detection with Multi-Task Learning by Leveraging Contextual Knowledge COLING 2024 CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models ACL 2024 CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024 CMU’s IWSLT 2024 Simultaneous Speech Translation System ACL 2024 CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors NeurIPS 2024 CNC-Net: Self-Supervised Learning for CNC Machining Operations CVPR 2024 CNN Kernels Can Be the Best Shapelets ICLR 2024 CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite COLING 2024 Coactive Learning for Large Language Models using Implicit User Feedback ICML 2024 COALA: A Practical and Vision-Centric Federated Learning Platform ICML 2024 Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract) AAAI 2024 Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis CVPR 2024 CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models EMNLP 2024 CoBIT: A Contrastive Bi-directional Image-Text Generation Model ICLR 2024 Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration ACL 2024