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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)

Data-Free Hard-Label Robustness Stealing Attack AAAI 2024 Data-Free Quantization via Pseudo-label Filtering CVPR 2024 Data-mining and Extraction: the gold rush of AI on Indigenous Languages EACL 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024 Data Poisoning based Backdoor Attacks to Contrastive Learning CVPR 2024 Datasets Creation and Empirical Evaluations of Cross-Lingual Learning on Extremely Low-Resource Languages: A Focus on Comorian Dialects EACL 2024 Data Summarization via Bilevel Optimization JMLR 2024 DataTales: A Benchmark for Real-World Intelligent Data Narration EMNLP 2024 Data Thinning for Convolution-Closed Distributions JMLR 2024 DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting CVPR 2024 DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning SemEval 2024 DB3V: A Dialect Dominated Dataset of Bird Vocalisation for Cross-corpus Bird Species Recognition Interspeech 2024 DB-PMAE: Dual-Branch Prototypical Masked AutoEncoder with locality for domain robust speaker verification Interspeech 2024 DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding EMNLP 2024 DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning AAAI 2024 D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NeurIPS 2024 DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery MIDL 2024 DDAE: Towards Deep Dynamic Vision BERT Pretraining AAAI 2024 DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion AAAI 2024 DDPrompt: Differential Diversity Prompting in Large Language Models ACL 2024 Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing EMNLP 2024 Dealing with Data Scarcity in Spoken Question Answering COLING 2024 Dealing with Synthetic Data Contamination in Online Continual Learning NeurIPS 2024 Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models ACL 2024 DeBERTa at SemEval-2024 Task 9: Using DeBERTa for Defying Common Sense SemEval 2024