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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization EMNLP 2024 Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization NeurIPS 2024 Grounded Question-Answering in Long Egocentric Videos CVPR 2024 Grounding Everything: Emerging Localization Properties in Vision-Language Transformers CVPR 2024 Grounding Language in Multi-Perspective Referential Communication EMNLP 2024 Grounding Partially-Defined Events in Multimodal Data EMNLP 2024 Group and Shuffle: Efficient Structured Orthogonal Parametrization NeurIPS 2024 GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding CVPR 2024 Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech ACL 2024 GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data ACML 2024 GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats NeurIPS 2024 GSO-Net: Grid Surface Optimization via Learning Geometric Constraints AAAI 2024 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NeurIPS 2024 Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples ICML 2024 GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack EMNLP 2024 GuardT2I: Defending Text-to-Image Models from Adversarial Prompts NeurIPS 2024 Guidance-Based Prompt Data Augmentation in Specialized Domains for Named Entity Recognition ACL 2024 Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining AAAI 2024 Guiding Large Language Models via External Attention Prompting for Scientific Extreme Summarization ACL 2024 Habesha@DravidianLangTech 2024: Detecting Fake News Detection in Dravidian Languages using Deep Learning EACL 2024 HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information WACV 2024 Hallucination Augmented Contrastive Learning for Multimodal Large Language Model CVPR 2024 HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning EMNLP 2024 HAMiSoN-MTL at ClimateActivism 2024: Detection of Hate Speech, Targets, and Stance using Multi-task Learning EACL 2024 Happy: A Debiased Learning Framework for Continual Generalized Category Discovery NeurIPS 2024