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

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Papers (including subtopics)

NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NeurIPS 2023 NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation CVPR 2023 NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer CVPR 2023 NeRF-RPN: A General Framework for Object Detection in NeRFs CVPR 2023 NeRF-Supervised Deep Stereo CVPR 2023 Nested Named Entity Recognition as Building Local Hypergraphs AAAI 2023 Neural Algorithmic Reasoning Without Intermediate Supervision NeurIPS 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023 Neural Congealing: Aligning Images to a Joint Semantic Atlas CVPR 2023 Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging ICCV 2023 Neural Discovery of Permutation Subgroups AISTATS 2023 Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks ICLR 2023 Neural Episodic Control with State Abstraction ICLR 2023 Neural Fields with Hard Constraints of Arbitrary Differential Order NeurIPS 2023 Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching CVPR 2023 Neural Machine Translation for Mathematical Formulae ACL 2023 Neural Machine Translation Methods for Translating Text to Sign Language Glosses ACL 2023 Neural Machine Translation through Active Learning on low-resource languages: The case of Spanish to Mapudungun ACL 2023 Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement NeurIPS 2023 Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NeurIPS 2023 Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks AAAI 2023 Neural Simulated Annealing AISTATS 2023 Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023 Neural Texture Synthesis With Guided Correspondence CVPR 2023 Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023