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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)

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection AAAI 2024 DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset WACV 2024 Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024 DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM NeurIPS 2024 DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing CVPR 2024 DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models ACL 2024 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers EMNLP 2024 DRAVIDIAN LANGUAGE@ LT-EDI 2024:Pretrained Transformer based Automatic Speech Recognition system for Elderly People EACL 2024 DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models CVPR 2024 DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments NeurIPS 2024 DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation NeurIPS 2024 DreamComposer: Controllable 3D Object Generation via Multi-View Conditions CVPR 2024 DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation AAAI 2024 DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing ICLR 2024 DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback CVPR 2024 DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024 DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks NeurIPS 2024 DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving CVPR 2024 Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond NeurIPS 2024 DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection ICML 2024 DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes CVPR 2024 DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs NeurIPS 2024 DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024 Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning CVPR 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024