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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)

Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives ACL 2024 Video-LLaVA: Learning United Visual Representation by Alignment Before Projection EMNLP 2024 VideoMAC: Video Masked Autoencoders Meet ConvNets CVPR 2024 Video ReCap: Recursive Captioning of Hour-Long Videos CVPR 2024 Video Recognition in Portrait Mode CVPR 2024 VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation EMNLP 2024 Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding EMNLP 2024 VidLA: Video-Language Alignment at Scale CVPR 2024 VidToMe: Video Token Merging for Zero-Shot Video Editing CVPR 2024 View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields ECCV 2024 View From Above: Orthogonal-View aware Cross-view Localization CVPR 2024 VIEWS: Entity-Aware News Video Captioning EMNLP 2024 ViHateT5: Enhancing Hate Speech Detection in Vietnamese With a Unified Text-to-Text Transformer Model ACL 2024 ViLCo-Bench: VIdeo Language COntinual learning Benchmark NeurIPS 2024 ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization AAAI 2024 VIMI: Grounding Video Generation through Multi-modal Instruction EMNLP 2024 ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts CVPR 2024 Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning CVPR 2024 Virtual Try-On: Real-Time Interactive Hybrid Network with High-Fidelity AAAI 2024 ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation ACL 2024 VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models ACL 2024 Visible-Infrared Person Re-Indentification via Feature Fusion and Deep Mutual Learning ACML 2024 Vision-and-Language Navigation via Causal Learning CVPR 2024 Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection ECCV 2024 Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification EMNLP 2024