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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)

LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering EMNLP 2024 Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024 Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction NeurIPS 2024 Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts ICML 2024 Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery IJCAI 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data ICLR 2024 Long Unit Word Tokenization and Bunsetsu Segmentation of Historical Japanese ACL 2024 Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning CVPR 2024 Looking within the self: Investigating the Impact of Data Augmentation with Self-training on Automatic Speech Recognition for Hupa EACL 2024 Look Who’s Talking Now: Covert Channels From Biased LLMs EMNLP 2024 LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NeurIPS 2024 LoRA Meets Dropout under a Unified Framework ACL 2024 LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation EMNLP 2024 LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024 LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild ACL 2024 LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024 Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts EMNLP 2024 LoS: Local Structure-Guided Stereo Matching CVPR 2024 LoTLIP: Improving Language-Image Pre-training for Long Text Understanding NeurIPS 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 Low-Rank Similarity Mining for Multimodal Dataset Distillation ICML 2024 Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning CVPR 2024 Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models ACL 2024