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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)

Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class COLING 2024 Human-in-the-Loop Visual Re-ID for Population Size Estimation ECCV 2024 Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack COLING 2024 Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0 Interspeech 2024 Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations EMNLP 2024 Human Motion Prediction Under Unexpected Perturbation CVPR 2024 Humanoid Locomotion as Next Token Prediction NeurIPS 2024 Humans or LLMs as the Judge? A Study on Judgement Bias EMNLP 2024 HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes CVPR 2024 Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation CVPR 2024 HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback AAAI 2024 HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NeurIPS 2024 HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs SemEval 2024 HW-TSC’s Participation in the WMT 2024 QEAPE Task EMNLP 2024 Hybrid Alignment Training for Large Language Models ACL 2024 Hybrid-Diarization System with Overlap Post-Processing for the DISPLACE 2024 Challenge Interspeech 2024 Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners ICLR 2024 Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability NeurIPS 2024 Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response ICLR 2024 Hybrid Mamba for Few-Shot Segmentation NeurIPS 2024 Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting WACV 2024 HybridVC: Efficient Voice Style Conversion with Text and Audio Prompts Interspeech 2024 HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation ACL 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024