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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)

Revisiting motion information for RGB-Event tracking with MOT philosophy NeurIPS 2024 Revisiting Multimodal Transformers for Tabular Data with Text Fields ACL 2024 Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis CVPR 2024 Revisiting Open-Set Panoptic Segmentation AAAI 2024 Revisiting Single Image Reflection Removal In the Wild CVPR 2024 Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion CVPR 2024 Revisiting Supervised Contrastive Learning for Microblog Classification EMNLP 2024 Revisit the Essence of Distilling Knowledge through Calibration ICML 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024 Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ICLR 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 RGB-X Object Detection via Scene-Specific Fusion Modules WACV 2024 Rich Human Feedback for Text-to-Image Generation CVPR 2024 Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models ICML 2024 RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models ACL 2024 RIGA at SMM4H-2024 Task 1: Enhancing ADE discovery with GPT-4 ACL 2024 RL-GPT: Integrating Reinforcement Learning and Code-as-policy NeurIPS 2024 RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024 RLIF: Interactive Imitation Learning as Reinforcement Learning ICLR 2024 RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing AAAI 2024 RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control JMLR 2024 RMem: Restricted Memory Banks Improve Video Object Segmentation CVPR 2024