conftrace_

deep learning

2118 papers

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Also known as

DL

Co-occurring keywords

neural network (6616) text classification (6793) convolutional neural network (4226) representation learning (6206) transfer learning (5449) deep neural network (1803) attention mechanism (4001) natural language processing (2034) image classification (1944) feature learning (1311)

Papers

Clinical Contradiction Detection EMNLP 2023
Yet Another Model for Arabic Dialect Identification EMNLP 2023
Deep Non-line-of-sight Imaging from Under-scanning Measurements NIPS 2023
DLKoopman: A deep learning software package for Koopman theory L4DC 2023
Recursive Sound Source Separation with Deep Learning-based Beamforming for Unknown Number of Sources INTERSPEECH 2023
RoBoCoP: A Comprehensive ROmance BOrrowing COgnate Package and Benchmark for Multilingual Cognate Identification EMNLP 2023
UnSE: Unsupervised Speech Enhancement Using Optimal Transport INTERSPEECH 2023
Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones NIPS 2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NIPS 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations AAAI 2023
Analysis and automatic prediction of exertion from speech: Contrasting objective and subjective measures collected while running INTERSPEECH 2023
Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context NIPS 2023
Biophysically-inspired single-channel speech enhancement in the time domain INTERSPEECH 2023
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks NIPS 2023
A Dataset of Relighted 3D Interacting Hands NIPS 2023
Smooth, exact rotational symmetrization for deep learning on point clouds NIPS 2023
An Inductive Bias for Tabular Deep Learning NIPS 2023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NIPS 2023
On the choice of Perception Loss Function for Learned Video Compression NIPS 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors NIPS 2023
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch ICML 2023
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias ICML 2023
Controllable Neural Symbolic Regression ICML 2023
Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness NIPS 2023