conftrace_

Deep Learning

78,198 papers (26 classified directly here)

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

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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859

1,652

3,233

5,368

6,434

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9,951

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14,487

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Papers (including subtopics)

QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism EMNLP 2024 Q-SENN: Quantized Self-Explaining Neural Networks AAAI 2024 Q-SLAM: Quadric Representations for Monocular SLAM CoRL 2024 QTIP: Quantization with Trellises and Incoherence Processing NeurIPS 2024 QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion NeurIPS 2024 Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning AAAI 2024 QUADify: Extracting Meshes with Pixel-level Details and Materials from Images CVPR 2024 QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model NeurIPS 2024 Quadratic models for understanding catapult dynamics of neural networks ICLR 2024 Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model ACL 2024 Quality-Diversity Generative Sampling for Learning with Synthetic Data AAAI 2024 Quality-Diversity with Limited Resources ICML 2024 Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs EMNLP 2024 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NeurIPS 2024 Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective EMNLP 2024 Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models ACL 2024 Quantifying Representation Reliability in Self-Supervised Learning Models UAI 2024 Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval EMNLP 2024 Quantifying the Hyperparameter Sensitivity of Neural Networks for Character-level Sequence-to-Sequence Tasks EACL 2024 Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024 Quantifying Unintended Memorization in BEST-RQ ASR Encoders Interspeech 2024 Quantile-Based Maximum Likelihood Training for Outlier Detection AAAI 2024 Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation AAAI 2024 Quantitative Convergences of Lie Group Momentum Optimizers NeurIPS 2024 Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models AISTATS 2024