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)

HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking AAAI 2025 HFT: Half Fine-Tuning for Large Language Models ACL 2025 HGEN: Heterogeneous Graph Ensemble Networks IJCAI 2025 Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridging ICCV 2025 Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings ACL 2025 Hidden in Plain Sight: Reasoning in Underspecified and Misspecified Scenarios for Multimodal LLMs EMNLP 2025 Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine ACL 2025 HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification MIDL 2025 Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension AAAI 2025 Hierarchical-aware Orthogonal Disentanglement Framework for Fine-grained Skeleton-based Action Recognition ICCV 2025 Hierarchical Bracketing Encodings for Dependency Parsing as Tagging ACL 2025 Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning CVPR 2025 Hierarchical Consensus Network for Multiview Feature Learning AAAI 2025 Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs AAAI 2025 Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection AAAI 2025 Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation AAAI 2025 Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models ICCV 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025 Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings ACL 2025 Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis AAAI 2025 HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding CVPR 2025 HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search ACL 2025 High-Dimensional Interlingual Representations of Large Language Models ACL 2025 High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm CVPR 2025 Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning AAAI 2025