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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)

RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models EMNLP 2024 Rationale-Aware Answer Verification by Pairwise Self-Evaluation EMNLP 2024 Rationales for Answers to Simple Math Word Problems Confuse Large Language Models ACL 2024 RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models NeurIPS 2024 RCL: Reliable Continual Learning for Unified Failure Detection CVPR 2024 RDRec: Rationale Distillation for LLM-based Recommendation ACL 2024 README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP EMNLP 2024 READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling AAAI 2024 Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection CVPR 2024 Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization ICML 2024 Real-Time Recurrent Learning using Trace Units in Reinforcement Learning NeurIPS 2024 Real-Time Simulated Avatar from Head-Mounted Sensors CVPR 2024 Real-World Mobile Image Denoising Dataset with Efficient Baselines CVPR 2024 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024 Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models EMNLP 2024 Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training NeurIPS 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 ReBERT at HSD-2Lang 2024: Fine-Tuning BERT with AdamW for Hate Speech Detection in Arabic and Turkish EACL 2024 Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing EMNLP 2024 Recognize Any Regions NeurIPS 2024 ReconBoost: Boosting Can Achieve Modality Reconcilement ICML 2024 ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection WACV 2024 Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024 ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024 RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024