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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)

Image Captioning with Multi-Context Synthetic Data AAAI 2024 Image Processing GNN: Breaking Rigidity in Super-Resolution CVPR 2024 Images that Sound: Composing Images and Sounds on a Single Canvas NeurIPS 2024 “Image, Tell me your story!” Predicting the original meta-context of visual misinformation EMNLP 2024 Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation CVPR 2024 Image Understanding Makes for A Good Tokenizer for Image Generation NeurIPS 2024 imapScore: Medical Fact Evaluation Made Easy ACL 2024 IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method EMNLP 2024 I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models ACML 2024 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models ACL 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection ACL 2024 Implicit Neural Models to Extract Heart Rate from Video ECCV 2024 Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024 Implicit Regularization Paths of Weighted Neural Representations NeurIPS 2024 Implicit Steganography Beyond the Constraints of Modality ECCV 2024 IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation CVPR 2024 Improved Distribution Matching Distillation for Fast Image Synthesis NeurIPS 2024 Improved Generalization of Weight Space Networks via Augmentations ICML 2024 Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding AAAI 2024 Improved Self-Training for Test-Time Adaptation CVPR 2024 Improved Visual Grounding through Self-Consistent Explanations CVPR 2024 Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation EMNLP 2024 Improving Adaptivity via Over-Parameterization in Sequence Models NeurIPS 2024