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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)

DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis CVPR 2024 DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction CVPR 2024 DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model NeurIPS 2024 Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion CVPR 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction NeurIPS 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning NeurIPS 2024 Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NeurIPS 2024 Diffusion Imitation from Observation NeurIPS 2024 Diffusion-Inspired Truncated Sampler for Text-Video Retrieval NeurIPS 2024 Diffusion Language Models Are Versatile Protein Learners ICML 2024 Diffusion Language-Shapelets for Semi-supervised Time-Series Classification AAAI 2024 Diffusion Mask-Driven Visual-language Tracking IJCAI 2024 Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning RSS 2024 Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024 Diffusion Models are Certifiably Robust Classifiers NeurIPS 2024 Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance ICML 2024 Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement NeurIPS 2024 DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data CVPR 2024 Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation EACL 2024 Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies NeurIPS 2024 DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion CVPR 2024 Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance CVPR 2024 Diffusion-Reward Adversarial Imitation Learning NeurIPS 2024 Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation Interspeech 2024