conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

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'25

Papers (including subtopics)

Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference AAAI 2025 Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning CVPR 2025 Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses AAAI 2025 Learning curves theory for hierarchically compositional data with power-law distributed features ICML 2025 Learning Deep Illumination-Robust Features from Multispectral Filter Array Images WACV 2025 Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space ICCV 2025 Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025 Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation CVPR 2025 Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval AAAI 2025 Learning Event Completeness for Weakly Supervised Video Anomaly Detection ICML 2025 Learning Few-Step Diffusion Models by Trajectory Distribution Matching ICCV 2025 Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination AAAI 2025 Learning from biased positive-unlabeled data via threshold calibration AISTATS 2025 Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review ACL 2025 Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation EMNLP 2025 Learning from Label Proportions and Covariate-shifted Instances UAI 2025 Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction AAAI 2025 Learning from Sample Stability for Deep Clustering ICML 2025 Learning from Streaming Video with Orthogonal Gradients CVPR 2025 Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes CVPR 2025 Learning from True-False Labels via Multi-modal Prompt Retrieving ICML 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation ICLR 2025 Learning General-purpose Biomedical Volume Representations using Randomized Synthesis ICLR 2025 Learning Graph Node Embeddings by Smooth Pair Sampling AISTATS 2025 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025