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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)

WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata NeurIPS 2024 WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models NeurIPS 2024 Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification? EMNLP 2024 Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning AAAI 2024 Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation COLING 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NeurIPS 2024 WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer ICML 2024 WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV ACL 2024 With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning IJCAI 2024 WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles EMNLP 2024 Wonder3D: Single Image to 3D using Cross-Domain Diffusion CVPR 2024 WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks NeurIPS 2024 Word Matters: What Influences Domain Adaptation in Summarization? ACL 2024 Words That Stick: Using Keyword Cohesion to Improve Text Segmentation CoNLL 2024 WordWizards@DravidianLangTech 2024:Fake News Detection in Dravidian Languages using Cross-lingual Sentence Embeddings EACL 2024 Work in Progress: Text-to-speech on Edge Devices for Te Reo Māori and ‘Ōlelo Hawaiʻi COLING 2024 WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment NeurIPS 2024 World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering EMNLP 2024 Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NeurIPS 2024 Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NeurIPS 2024 Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024 WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives IJCAI 2024 WPO: Enhancing RLHF with Weighted Preference Optimization EMNLP 2024 XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation COLING 2024 XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners NAACL 2024