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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)

CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages EMNLP 2024 CTC-aligned Audio-Text Embedding for Streaming Open-vocabulary Keyword Spotting Interspeech 2024 CUET_Binary_Hackers@DravidianLangTech EACL2024: Fake News Detection in Malayalam Language Leveraging Fine-tuned MuRIL BERT EACL 2024 CultureLLM: Incorporating Cultural Differences into Large Language Models NeurIPS 2024 CuReD: Deep Learning Optical Character Recognition for Cuneiform Text Editions and Legacy Materials ACL 2024 Curriculum Consistency Learning for Conditional Sentence Generation EMNLP 2024 Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NeurIPS 2024 Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation CVPR 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NeurIPS 2024 Curvature-Invariant Adversarial Attacks for 3D Point Clouds AAAI 2024 Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning NeurIPS 2024 Customizing Language Model Responses with Contrastive In-Context Learning AAAI 2024 CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation AAAI 2024 CycleCL: Self-Supervised Learning for Periodic Videos WACV 2024 Cycle-Consistency Learning for Captioning and Grounding AAAI 2024 CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data CVPR 2024 Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding ACL 2024 Cyclic Learning for Binaural Audio Generation and Localization CVPR 2024 D2LLM: Decomposed and Distilled Large Language Models for Semantic Search ACL 2024 D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NeurIPS 2024 D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection CVPR 2024 DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation NeurIPS 2024 DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs EMNLP 2024 DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models ACL 2024 DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving AAAI 2024