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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)

Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models UAI 2024 SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes SemEval 2024 Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection CoRL 2024 SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models NeurIPS 2024 SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024 Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning EMNLP 2024 Show and Guide: Instructional-Plan Grounded Vision and Language Model EMNLP 2024 Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding CVPR 2024 SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning ACL 2024 Sieve: Multimodal Dataset Pruning using Image Captioning Models CVPR 2024 SignCLIP: Connecting Text and Sign Language by Contrastive Learning EMNLP 2024 Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics AAAI 2024 SignGraph: A Sign Sequence is Worth Graphs of Nodes CVPR 2024 Sign Language Translation with Sentence Embedding Supervision ACL 2024 Sign Rank Limitations for Inner Product Graph Decoders ICML 2024 SIG: Speaker Identification in Literature via Prompt-Based Generation AAAI 2024 SimDA: Simple Diffusion Adapter for Efficient Video Generation CVPR 2024 SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection AAAI 2024 SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024 Similarity-Navigated Conformal Prediction for Graph Neural Networks NeurIPS 2024 Simple and Fast Distillation of Diffusion Models NeurIPS 2024 Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion ACL 2024 Simple Contrastive Multi-View Clustering with Data-Level Fusion IJCAI 2024 Simple Image-Level Classification Improves Open-Vocabulary Object Detection AAAI 2024 Simple Orthogonal Graph Representation Learning (Student Abstract) AAAI 2024