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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)

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024 Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models ACL 2024 Interactive Network Perturbation Between Teacher and Students for Semi-Supervised Semantic Segmentation WACV 2024 Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach ACL 2024 Interactive Visual Task Learning for Robots AAAI 2024 InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint NeurIPS 2024 InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction NeurIPS 2024 Interfacing Foundation Models' Embeddings NeurIPS 2024 InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion CVPR 2024 IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot Interaction IJCAI 2024 InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context EMNLP 2024 InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States EMNLP 2024 InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation ICLR 2024 InternVideo2: Scaling Foundation Models for Multimodal Video Understanding ECCV 2024 InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes ICLR 2024 Interplay of Machine Translation, Diacritics, and Diacritization NAACL 2024 Interpretability Guarantees with Merlin-Arthur Classifiers AISTATS 2024 Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024 Interpretable Concept-Based Memory Reasoning NeurIPS 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NeurIPS 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024 Interpretable Short Video Rumor Detection Based on Modality Tampering COLING 2024 InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning AAAI 2024 Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge NeurIPS 2024