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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)

SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization EMNLP 2024 Syntactic Preposing and Discourse Relations EACL 2024 Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NeurIPS 2024 Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation ACL 2024 Synthesizing Text-to-SQL Data from Weak and Strong LLMs ACL 2024 Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models EMNLP 2024 SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists EMNLP 2024 Systematic Biases in LLM Simulations of Debates EMNLP 2024 Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification CVPR 2024 T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models ECCV 2024 T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration AAAI 2024 T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback NeurIPS 2024 TAAL: Target-Aware Active Learning COLING 2024 TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling AAAI 2024 TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models NeurIPS 2024 Table Question Answering for Low-resourced Indic Languages EMNLP 2024 TableRAG: Million-Token Table Understanding with Language Models NeurIPS 2024 TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NeurIPS 2024 Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering WACV 2024 Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders Interspeech 2024 Tackling the XAI Disagreement Problem with Regional Explanations AISTATS 2024 TacoLM: GaTed Attention Equipped Codec Language Model are Efficient Zero-Shot Text to Speech Synthesizers Interspeech 2024 TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series ICLR 2024 TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024 TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training AAAI 2024