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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)

The Many Faces of Optimal Weak-to-Strong Learning NeurIPS 2024 The MERSA Dataset and a Transformer-Based Approach for Speech Emotion Recognition ACL 2024 The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data NeurIPS 2024 The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024 The Overlooked Repetitive Lengthening Form in Sentiment Analysis EMNLP 2024 The Power of Summary-Source Alignments ACL 2024 The Prevalence of Neural Collapse in Neural Multivariate Regression NeurIPS 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data UAI 2024 The reasonable effectiveness of speaker embeddings for violence detection Interspeech 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis EMNLP 2024 The STVchrono Dataset: Towards Continuous Change Recognition in Time CVPR 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better NeurIPS 2024 The Value of Reward Lookahead in Reinforcement Learning NeurIPS 2024 THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract) AAAI 2024 Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NeurIPS 2024 Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting EMNLP 2024 Thin-Shell Object Manipulations With Differentiable Physics Simulations ICLR 2024 Thoughts to Target: Enhance Planning for Target-driven Conversation EMNLP 2024 Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024 Three Pillars Improving Vision Foundation Model Distillation for Lidar CVPR 2024 TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models CVPR 2024 TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach CoRL 2024