Pre-Training With Scientific Text Improves Educational Question Generation. (arXiv:2212.03869v1 [cs.CL]) http://arxiv.org/abs/2212.03869
Hardware Efficient Neural Network Assisted Qubit Readout. (arXiv:2212.03895v1 [quant-ph]) http://arxiv.org/abs/2212.03895
COMPAQT: Compressed Waveform Memory Architecture for Scalable Qubit Control. (arXiv:2212.03897v1 [quant-ph]) http://arxiv.org/abs/2212.03897
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve. (arXiv:2212.03905v1 [cs.LG]) http://arxiv.org/abs/2212.03905
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions. (arXiv:2212.03906v1 [quant-ph]) http://arxiv.org/abs/2212.03906
Machine Learning Assisted Inverse Design of Microresonators. (arXiv:2212.03243v1 [cs.LG]) http://arxiv.org/abs/2212.03243
Synthetic Expertise. (arXiv:2212.03244v1 [cs.HC]) http://arxiv.org/abs/2212.03244
MobileTL: On-device Transfer Learning with Inverted Residual Blocks. (arXiv:2212.03246v1 [cs.LG]) http://arxiv.org/abs/2212.03246
Neural Cell Video Synthesis via Optical-Flow Diffusion. (arXiv:2212.03250v1 [cs.CV]) http://arxiv.org/abs/2212.03250
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation. (arXiv:2212.03251v1 [cs.LG]) http://arxiv.org/abs/2212.03251
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. (arXiv:2212.03267v1 [cs.CV]) http://arxiv.org/abs/2212.03267
Giga-SSL: Self-Supervised Learning for Gigapixel Images. (arXiv:2212.03273v1 [cs.CV]) http://arxiv.org/abs/2212.03273
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. (arXiv:2212.03277v1 [cs.CV]) http://arxiv.org/abs/2212.03277
Counterfactual reasoning: Do language models need world knowledge for causal understanding?. (arXiv:2212.03278v1 [cs.CL]) http://arxiv.org/abs/2212.03278
From Knowledge Augmentation to Multi-tasking: Towards Human-like Dialogue Systems. (arXiv:2212.03279v1 [cs.AI]) http://arxiv.org/abs/2212.03279
Relation-based Motion Prediction using Traffic Scene Graphs. (arXiv:2212.02503v1 [cs.AI]) http://arxiv.org/abs/2212.02503
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data. (arXiv:2212.02504v1 [q-bio.QM]) http://arxiv.org/abs/2212.02504
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy. (arXiv:2212.02506v1 [cs.LG]) http://arxiv.org/abs/2212.02506
FEMa-FS: Finite Element Machines for Feature Selection. (arXiv:2212.02507v1 [cs.LG]) http://arxiv.org/abs/2212.02507
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning. (arXiv:2212.02508v1 [cs.SD]) http://arxiv.org/abs/2212.02508
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