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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)

Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution EMNLP 2024 VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp EMNLP 2024 VeriScore: Evaluating the factuality of verifiable claims in long-form text generation EMNLP 2024 Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation CVPR 2024 VertAttack: Taking Advantage of Text Classifiers’ Horizontal Vision NAACL 2024 Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions UAI 2024 VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes IJCAI 2024 VicTR: Video-conditioned Text Representations for Activity Recognition CVPR 2024 Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers RSS 2024 ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation ICLR 2024 VIDA: The Visual Incel Data Archive. A Theory-oriented Annotated Dataset To Enhance Hate Detection Through Visual Culture NAACL 2024 VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models EMNLP 2024 VideoCon: Robust Video-Language Alignment via Contrast Captions CVPR 2024 Video-Context Aligned Transformer for Video Question Answering AAAI 2024 VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool ACL 2024 VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation CVPR 2024 Video Decomposition Prior: Editing Videos Layer by Layer ICLR 2024 VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding CVPR 2024 Video Interpolation with Diffusion Models CVPR 2024 Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives ACL 2024 Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization ICML 2024 VideoMAC: Video Masked Autoencoders Meet ConvNets CVPR 2024 VideoPrism: A Foundational Visual Encoder for Video Understanding ICML 2024 Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding EMNLP 2024 VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation NeurIPS 2024