conftrace_

deep neural network

1803 papers

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Also known as

DNN DNNS

Co-occurring keywords

neural network (6616) adversarial attack (1621) deep learning (2118) image classification (1944) representation learning (6206) model compression (3302) convolutional neural network (4226) automatic speech recognition (1774) speech enhancement (581) neural network optimization (1293)

Papers

Convergence of Adam Under Relaxed Assumptions NIPS 2023
Real-Time Detection of Robotic Traffic in Online Advertising AAAI 2023
Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning COLT 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023
Deep Attentive Model for Knowledge Tracing AAAI 2023
Model Compression for DNN-based Speaker Verification Using Weight Quantization INTERSPEECH 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation ICML 2023
Speaker Extraction with Detection of Presence and Absence of Target Speakers INTERSPEECH 2023
Persistent Homology through Image Segmentation (Student Abstract) AAAI 2023
Regret Guarantees for Online Deep Control L4DC 2023
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023
Adaptive Sample Selection for Robust Learning Under Label Noise WACV 2023
LibMTL: A Python Library for Deep Multi-Task Learning JMLR 2023
Application for Real-time Audio-Visual Speech Enhancement INTERSPEECH 2023
Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games AAAI 2023
Parametric Surface Constrained Upsampler Network for Point Cloud AAAI 2023
Concept-based Explanations for Out-of-Distribution Detectors ICML 2023
EINNET: Optimizing Tensor Programs with Derivation-Based Transformations OSDI 2023
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies AAAI 2023
Combining Adversaries with Anti-adversaries in Training AAAI 2023
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization AAAI 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks NIPS 2023
On skip connections and normalisation layers in deep optimisation NIPS 2023
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023