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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)

Rhythm Controllable and Efficient Zero-Shot Voice Conversion via Shortcut Flow Matching ACL 2025 RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction EMNLP 2025 Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data AISTATS 2025 Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval AAAI 2025 Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation ICML 2025 RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning AAAI 2025 RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025 RITT: A Retrieval-Assisted Framework with Image and Text Table Representations for Table Question Answering ACL 2025 RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness CVPR 2025 RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters EMNLP 2025 RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation IJCAI 2025 R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning EMNLP 2025 RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs AAAI 2025 RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression CVPR 2025 RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation ACL 2025 RMultiplex200K: Toward Reliable Multimodal Process Supervision for Visual Language Models on Telecommunications ICCV 2025 RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval ICLR 2025 RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete CVPR 2025 RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation ICCV 2025 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport ICLR 2025 Robust Classification by Coupling Data Mollification with Label Smoothing AISTATS 2025 Robust Dataset Condensation using Supervised Contrastive Learning ICCV 2025 Robust Detection of Persuasion Techniques in Slavic Languages via Multitask Debiasing and Walking Embeddings ACL 2025 Robust fine-tuning of speech recognition models via model merging: application to disordered speech Interspeech 2025 Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning AAAI 2025