Deep Learning

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NeurIPS 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery AAAI 2024 Spatio-Temporal Turbulence Mitigation: A Translational Perspective CVPR 2024 SpeAr: A Spectral Approach for Zero-Shot Node Classification NeurIPS 2024 Speculative Contrastive Decoding ACL 2024 SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection AAAI 2024 Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment CVPR 2024 Spiking Denoising Diffusion Probabilistic Models WACV 2024 Splatter Image: Ultra-Fast Single-View 3D Reconstruction CVPR 2024 Split Conformal Prediction and Non-Exchangeable Data JMLR 2024 Statistically Principled Deep Learning for SAR Image Segmentation AAAI 2024 Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024 Stepping Forward on the Last Mile NeurIPS 2024 Stereo Conversion With Disparity-Aware Warping, Compositing and Inpainting WACV 2024 Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NeurIPS 2024 StraightPCF: Straight Point Cloud Filtering CVPR 2024 Symmetry-Informed Governing Equation Discovery NeurIPS 2024 TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NeurIPS 2024 Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NeurIPS 2024 Targeted Activation Penalties Help CNNs Ignore Spurious Signals AAAI 2024 Tayyab@DravidianLangTech 2024:Detecting Fake News in Malayalam LSTM Approach and Challenges EACL 2024 Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NeurIPS 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 Towards a theory of how the structure of language is acquired by deep neural networks NeurIPS 2024 Towards Exact Gradient-based Training on Analog In-memory Computing NeurIPS 2024