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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)

SynTab-LLaVA: Enhancing Multimodal Table Understanding with Decoupled Synthesis CVPR 2025 SyntaxMind at SemEval-2025 Task 11: BERT Base Multi-label Emotion Detection Using Gated Recurrent Unit SemEval 2025 Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications ACL 2025 Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection ICCV 2025 Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation ACL 2025 Synthetic Data Generated from CT Scans for Patient Pose Assessment MIDL 2025 Synthetic Data Generation for Phrase Break Prediction with Large Language Model Interspeech 2025 Synthetic Data in the Era of Large Language Models ACL 2025 Synthetic Data is an Elegant GIFT for Continual Vision-Language Models CVPR 2025 Synthetic Dysarthric Speech: A Supplement, Not a Substitute for Authentic Data in Dysarthric Speech Recognition Interspeech 2025 Synthetic Speech Source Tracing using Metric Learning Interspeech 2025 Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors CVPR 2025 SYSTRAN @ IWSLT 2025 Low-resource track ACL 2025 SYSTRAN @ WMT 2025 General Translation Task EMNLP 2025 SYSUpporter Team at BEA 2025 Shared Task: Class Compensation and Assignment Optimization for LLM-generated Tutor Identification ACL 2025 T2A-Feedback: Improving Basic Capabilities of Text-to-Audio Generation via Fine-grained AI Feedback ACL 2025 T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting CVPR 2025 T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning ICLR 2025 T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation CVPR 2025 TableCoder: Table Extraction from Text via Reliable Code Generation ACL 2025 Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning EMNLP 2025 TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models ACL 2025 TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models ACL 2025 Table-R1: Inference-Time Scaling for Table Reasoning Tasks EMNLP 2025 Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling ICLR 2025