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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)

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NeurIPS 2024 Scaling Sentence Embeddings with Large Language Models EMNLP 2024 Scaling Up Dynamic Human-Scene Interaction Modeling CVPR 2024 Scaling up masked audio encoder learning for general audio classification Interspeech 2024 Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data AAAI 2024 Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild CVPR 2024 SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition AAAI 2024 SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation CVPR 2024 Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract) AAAI 2024 SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement EMNLP 2024 SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences ACL 2024 SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics EMNLP 2024 SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology WACV 2024 SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views AAAI 2024 SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024 SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation EMNLP 2024 SCoRe: Submodular Combinatorial Representation Learning ICML 2024 SCP: Spherical-Coordinate-Based Learned Point Cloud Compression AAAI 2024 Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label AAAI 2024 Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets NeurIPS 2024 SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models CVPR 2024 Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training CVPR 2024 SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras CVPR 2024 SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer CVPR 2024 SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing AAAI 2024