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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models NeurIPS 2024 VidToMe: Video Token Merging for Zero-Shot Video Editing CVPR 2024 Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation ICLR 2024 VIGC: Visual Instruction Generation and Correction AAAI 2024 ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models NAACL 2024 ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification CVPR 2024 ViLCo-Bench: VIdeo Language COntinual learning Benchmark NeurIPS 2024 VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft ACL 2024 ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models ICLR 2024 ViP: A Differentially Private Foundation Model for Computer Vision ICML 2024 Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning CVPR 2024 Virtual Personas for Language Models via an Anthology of Backstories EMNLP 2024 Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients NeurIPS 2024 Vision-and-Language Navigation via Causal Learning CVPR 2024 Vision Foundation Model Enables Generalizable Object Pose Estimation NeurIPS 2024 Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation IJCAI 2024 Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification EMNLP 2024 Vision-Language Models are Strong Noisy Label Detectors NeurIPS 2024 Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding AAAI 2024 VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks NeurIPS 2024 Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning NeurIPS 2024 Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NeurIPS 2024 Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting AAAI 2024 VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization NAACL 2024 ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis AAAI 2024