conftrace_
← Deep Learning
Deep Learning ›

Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

4
30
847
998
'10
'15
'20
'25

Papers (including subtopics)

FII FUNNY at SemEval-2021 Task 7: HaHackathon: Detecting and rating Humor and Offense ACL 2021
Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data ACL 2021
UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth ACL 2021
Improved pronunciation prediction accuracy using morphology ACL 2021
Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis ACL 2021
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset ACL 2021
DDSAS: Dynamic and Differentiable Space-Architecture Search ACML 2021
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization ACML 2021
DPOQ: Dynamic Precision Onion Quantization ACML 2021
Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021
Layer-Wise Neural Network Compression via Layer Fusion ACML 2021
Video Action Recognition with Neural Architecture Search ACML 2021
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices AISTATS 2021
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry AISTATS 2021
Approximating Lipschitz continuous functions with GroupSort neural networks AISTATS 2021
On the Generalization Properties of Adversarial Training AISTATS 2021
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers AISTATS 2021
Stable ResNet AISTATS 2021
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks AISTATS 2021
Adaptive wavelet pooling for convolutional neural networks AISTATS 2021
Fractional moment-preserving initialization schemes for training deep neural networks AISTATS 2021
A Change of Variables Method For Rectangular Matrix-Vector Products AISTATS 2021
Mirror Descent View for Neural Network Quantization AISTATS 2021
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks AISTATS 2021
Associative Convolutional Layers AISTATS 2021