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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)

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum NeurIPS 2024 DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain NeurIPS 2024 DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding EMNLP 2024 DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning AAAI 2024 DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models ACML 2024 D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NeurIPS 2024 DCU ADAPT at WMT24: English to Low-resource Multi-Modal Translation Task EMNLP 2024 DCV2I: A Practical Approach for Supporting Geographers’ Visual Interpretation in Dune Segmentation with Deep Vision Models AAAI 2024 DDAE: Towards Deep Dynamic Vision BERT Pretraining AAAI 2024 DDPrompt: Differential Diversity Prompting in Large Language Models ACL 2024 DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor NeurIPS 2024 DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract) AAAI 2024 Dealing with Synthetic Data Contamination in Online Continual Learning NeurIPS 2024 Debiased Novel Category Discovering and Localization AAAI 2024 Debiasing Large Language Models with Structured Knowledge ACL 2024 Debiasing Multimodal Sarcasm Detection with Contrastive Learning AAAI 2024 Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework EMNLP 2024 Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models EMNLP 2024 Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models ECCV 2024 Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making ICLR 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning ICML 2024 Decoding-Time Language Model Alignment with Multiple Objectives NeurIPS 2024 Decomposable Transformer Point Processes NeurIPS 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024 Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP NeurIPS 2024