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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)

Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach CVPR 2024 Visual Prompting in LLMs for Enhancing Emotion Recognition EMNLP 2024 VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation AAAI 2024 ViTamin: Designing Scalable Vision Models in the Vision-Language Era CVPR 2024 ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining AAAI 2024 VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values EMNLP 2024 VIXEN: Visual Text Comparison Network for Image Difference Captioning AAAI 2024 VkD: Improving Knowledge Distillation using Orthogonal Projections CVPR 2024 VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting AAAI 2024 VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment EMNLP 2024 VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance NeurIPS 2024 VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought NeurIPS 2024 VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions NeurIPS 2024 Vlogger: Make Your Dream A Vlog CVPR 2024 VLP: Vision Language Planning for Autonomous Driving CVPR 2024 VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models CVPR 2024 VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024 VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis CVPR 2024 VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild ACL 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark NeurIPS 2024 VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis EMNLP 2024 VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models AAAI 2024 VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook AAAI 2024 VRP-SAM: SAM with Visual Reference Prompt CVPR 2024 VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection CVPR 2024