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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)

Link to the Past: Temporal Propagation for Fast 3D Human Reconstruction from Monocular Video CVPR 2025 LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion ICCV 2025 LIP-NER: Literal Patterns Benefit LLM-Based NER ACL 2025 Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing Interspeech 2025 LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs Interspeech 2025 Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions ACL 2025 LIST: Language-Independent Speech Token for Multilingual Speech Synthesis with Language Models Interspeech 2025 Literature Meets Data: A Synergistic Approach to Hypothesis Generation ACL 2025 Little Giants: Synthesizing High-Quality Embedding Data at Scale NAACL 2025 LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale CVPR 2025 LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs ACL 2025 LLaVA-KD: A Framework of Distilling Multimodal Large Language Models ICCV 2025 LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering ACL 2025 LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation AAAI 2025 LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study NAACL 2025 LLM Attributor: Interactive Visual Attribution for LLM Generation AAAI 2025 LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience EMNLP 2025 LLM-Based Dialogue Labeling for Multiturn Adaptive RAG EMNLP 2025 LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context Interspeech 2025 LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025 LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis ACL 2025 LLM Bias Detection and Mitigation through the Lens of Desired Distributions EMNLP 2025 LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models NAACL 2025 LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models CVPR 2025 LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions EMNLP 2025