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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)

Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation CVPR 2024 Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024 Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems EMNLP 2024 Sum-max Submodular Bandits AISTATS 2024 SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization ACL 2024 SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization NAACL 2024 SuperDeepFool: a new fast and accurate minimal adversarial attack NeurIPS 2024 Super donors and super recipients: Studying cross-lingual transfer between high-resource and low-resource languages ACL 2024 Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning ACL 2024 SuperPrimitive: Scene Reconstruction at a Primitive Level CVPR 2024 SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024 Supervised Anomaly Detection for Complex Industrial Images CVPR 2024 Supervised Knowledge Makes Large Language Models Better In-context Learners ICLR 2024 SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering AAAI 2024 SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024 Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces ICML 2024 SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information EMNLP 2024 SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NeurIPS 2024 SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation AAAI 2024 Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese EMNLP 2024 Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse EACL 2024 Surveying the Technology Support of Languages COLING 2024 Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution EMNLP 2024 SussexAI at ArAIEval Shared Task: Mitigating Class Imbalance in Arabic Propaganda Detection ACL 2024 Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024