Deep Learning
1,404 papers
Papers per year
3
4
3
5
11
4
5
4
26
50
68
106
163
131
138
164
279
234
6
'15
'20
'25
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