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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)

Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding ICLR 2025 Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification CVPR 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction AAAI 2025 Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints ACL 2025 Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction CVPR 2025 Re-thinking Temporal Search for Long-Form Video Understanding CVPR 2025 Rethinking Text-based Protein Understanding: Retrieval or LLM? EMNLP 2025 Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game CVPR 2025 Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory ACL 2025 Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction ACL 2025 Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025 Rethinking Time Encoding via Learnable Transformation Functions ICML 2025 Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising AAAI 2025 ReTracker: Exploring Image Matching for Robust Online Any Point Tracking ICCV 2025 RETRACTED: GEONet: Global Enhancement and Optimization Network for Lane Detection AAAI 2025 Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning AAAI 2025 Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation ACL 2025 Retrieval-Augmented Forecasting with Tabular Time Series Data ACL 2025 Retrieval-Augmented Generation Meets Local Languages for Improved Drug Information Access and Comprehension. ACL 2025 Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning ACL 2025 Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines AAAI 2025 Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models ACL 2025 Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification ACL 2025 Retrieving Argument Graphs Using Vision Transformers ACL 2025 RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation AISTATS 2025