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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)

MoExtend: Tuning New Experts for Modality and Task Extension ACL 2024 MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision CVPR 2024 MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence ICML 2024 Mol2Lang-VLM: Vision- and Text-Guided Generative Pre-trained Language Models for Advancing Molecule Captioning through Multimodal Fusion ACL 2024 Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction EMNLP 2024 Molecule Design by Latent Prompt Transformer NeurIPS 2024 MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts NeurIPS 2024 MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts AAAI 2024 MolTC: Towards Molecular Relational Modeling In Language Models ACL 2024 MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NeurIPS 2024 MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts NeurIPS 2024 MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024 Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models CVPR 2024 MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity NeurIPS 2024 MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation COLING 2024 Monocular Identity-Conditioned Facial Reflectance Reconstruction CVPR 2024 Monomial Matrix Group Equivariant Neural Functional Networks NeurIPS 2024 MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty WACV 2024 Monotonic Paraphrasing Improves Generalization of Language Model Prompting EMNLP 2024 Monotonic Representation of Numeric Attributes in Language Models ACL 2024 More Bang for your Context: Virtual Documents for Question Answering over Long Documents EMNLP 2024 More is Better: Deep Domain Adaptation with Multiple Sources IJCAI 2024 More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation ACL 2024 MoReVQA: Exploring Modular Reasoning Models for Video Question Answering CVPR 2024 MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space EMNLP 2024