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Deep Learning

1397 directly classified papers

Papers per year

Papers

SALTED: A Framework for SAlient Long-tail Translation Error Detection EMNLP 2022
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation EMNLP 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NIPS 2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach NIPS 2022
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation EMNLP 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets ICML 2022
Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation ICML 2022
Robust Training under Label Noise by Over-parameterization ICML 2022
Personalized Federated Learning through Local Memorization ICML 2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices ICML 2022
A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022
Validating Causal Inference Methods ICML 2022
Universality of Winning Tickets: A Renormalization Group Perspective ICML 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction ICML 2022
To Smooth or Not? When Label Smoothing Meets Noisy Labels ICML 2022
Optimally Controllable Perceptual Lossy Compression ICML 2022
Exploring Temporal Coherence for More General Video Face Forgery Detection ICCV 2021
Proxy Indicators for the Quality of Open-domain Dialogues EMNLP 2021
Language ID Prediction from Speech Using Self-Attentive Pooling NAACL 2021
A ResNet-50-Based Convolutional Neural Network Model for Language ID Identification from Speech Recordings NAACL 2021
Understanding and Interpreting the Impact of User Context in Hate Speech Detection NAACL 2021
Label Confusion Learning to Enhance Text Classification Models AAAI 2021
Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification AAAI 2021
Simple or Complex? Learning to Predict Readability of Bengali Texts AAAI 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021