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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)

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation NeurIPS 2024 Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024 Improving Alignment and Robustness with Circuit Breakers NeurIPS 2024 Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models EMNLP 2024 Improving Attributed Text Generation of Large Language Models via Preference Learning ACL 2024 Improving Audio-Visual Segmentation with Bidirectional Generation AAAI 2024 Improving Automatic VQA Evaluation Using Large Language Models AAAI 2024 Improving Dialog Safety using Socially Aware Contrastive Learning EACL 2024 Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction AAAI 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning EMNLP 2024 Improving Equivariant Model Training via Constraint Relaxation NeurIPS 2024 Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024 Improving Factual Error Correction by Learning to Inject Factual Errors AAAI 2024 Improving Fairness Using Vision-Language Driven Image Augmentation WACV 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NeurIPS 2024 Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names CVPR 2024 Improving Gloss-free Sign Language Translation by Reducing Representation Density NeurIPS 2024 Improving Graph Contrastive Learning via Adaptive Positive Sampling CVPR 2024 Improving Hierarchical Text Clustering with LLM-guided Multi-view Cluster Representation EMNLP 2024 Improving Image Restoration through Removing Degradations in Textual Representations CVPR 2024 Improving In-Context Learning with Prediction Feedback for Sentiment Analysis ACL 2024 Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis AAAI 2024 Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning EMNLP 2024 Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024