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)

Unsupervised Keypoints from Pretrained Diffusion Models CVPR 2024 Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos CVPR 2024 Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation NeurIPS 2024 Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio AISTATS 2024 Unsupervised Occupancy Learning from Sparse Point Cloud CVPR 2024 Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration AAAI 2024 Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures ACL 2024 Unsupervised Representation Learning by Balanced Self Attention Matching ECCV 2024 Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity ICML 2024 Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling CVPR 2024 Unsupervised Universal Image Segmentation CVPR 2024 Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training CVPR 2024 Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NeurIPS 2024 Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs EMNLP 2024 Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NeurIPS 2024 Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement AAAI 2024 Unveiling Encoder-Free Vision-Language Models NeurIPS 2024 Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons EMNLP 2024 Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model ACL 2024 Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization EMNLP 2024 Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism EMNLP 2024 Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation CVPR 2024 Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm ACL 2024 Unveiling the Invisible: Captioning Videos with Metaphors EMNLP 2024 Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories EMNLP 2024