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Deep Learning

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Papers

Scaling Law for Time Series Forecasting NeurIPS 2024 Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NeurIPS 2024 Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024 Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NeurIPS 2024 SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents EMNLP 2024 Second-order forward-mode optimization of recurrent neural networks for neuroscience NeurIPS 2024 SEL-BALD: Deep Bayesian Active Learning with Selective Labels NeurIPS 2024 Sharpness-Aware Minimization and the Edge of Stability JMLR 2024 Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction EMNLP 2024 Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics AAAI 2024 SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes AAAI 2024 Simplicity Bias in Overparameterized Machine Learning AAAI 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NeurIPS 2024 Single-View Scene Point Cloud Human Grasp Generation CVPR 2024 SMR: State Memory Replay for Long Sequence Modeling ACL 2024 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024 Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NeurIPS 2024 Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024 Spiking Neural Networks for Active Time-Resolved SPAD Imaging WACV 2024 Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions AAAI 2024 Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NeurIPS 2024 StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Studying Language Variation Considering the Re-Usability of Modern Theories, Tools and Resources for Annotating Explicit and Implicit Events in Centuries Old Text NAACL 2024 Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse EACL 2024