Skip to content
conftrace_

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)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Adaptive Parameter Selection for Tuning Vision-Language Models CVPR 2025 Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval AAAI 2025 Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection ICCV 2025 Adaptive Prototype Replay for Class Incremental Semantic Segmentation AAAI 2025 Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home ACL 2025 Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers ICLR 2025 Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation AAAI 2025 Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models ACL 2025 AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting ICML 2025 AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding ACL 2025 AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference AAAI 2025 A Dataset for Automatic Assessment of TTS Quality in Spanish Interspeech 2025 AdaWM: Adaptive World Model based Planning for Autonomous Driving ICLR 2025 AdaWorld: Learning Adaptable World Models with Latent Actions ICML 2025 ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement ICCV 2025 ADCeleb: A Longitudinal Speech Dataset from Public Figures for Early Detection of Alzheimer’s Disease Interspeech 2025 ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution CVPR 2025 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models ICLR 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models ACL 2025 Addressing Label Shift in Distributed Learning via Entropy Regularization​ ICLR 2025 Addressing Representation Collapse in Vector Quantized Models with One Linear Layer ICCV 2025 Addressing Task Conflicts in Stuttering Detection via MMoE-Based Multi-Task Learning Interspeech 2025 A Decade's Battle on Dataset Bias: Are We There Yet? ICLR 2025 A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask Supervision AAAI 2025