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Papers
iDeepMMSE: An improved deep learning approach to MMSE speech and noise power spectrum estimation for speech enhancement
Interspeech 2022
IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes
SemEval 2022
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English
SemEval 2022
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
ICML 2022
Improving Attribution Methods by Learning Submodular Functions
AISTATS 2022
Improving Segmentation of the Inferior Alveolar Nerve Through Deep Label Propagation
CVPR 2022
Information Injection to Deep Learning Solutions in Knowledge Transfer
IJCAI 2022
Inharmonious Region Localization by Magnifying Domain Discrepancy
AAAI 2022
Interpretable Low-Resource Legal Decision Making
AAAI 2022
INTERSPEECH 2022 Audio Deep Packet Loss Concealment Challenge
Interspeech 2022
Introducing a Large Corpus of Tokenized Classical Chinese Poems of Tang and Song Dynasties
AACL 2022
Introducing Variational Autoencoders to High School Students
AAAI 2022
Investigation on the Band Importance of Phase-aware Speech Enhancement
Interspeech 2022
IrekiaLFes: a New Open Benchmark and Baseline Systems for Spanish Automatic Text Simplification
EMNLP 2022
Is Attention Explanation? An Introduction to the Debate
ACL 2022
Iterative Deep Homography Estimation
CVPR 2022
KHANQ: A Dataset for Generating Deep Questions in Education
COLING 2022
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
ICML 2022
Learning Optical Flow from Continuous Spike Streams
NeurIPS 2022
Learning to Deblur Using Light Field Generated and Real Defocus Images
CVPR 2022
Local Identifiability of Deep ReLU Neural Networks: the Theory
NeurIPS 2022
Logic Traps in Evaluating Attribution Scores
ACL 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
NeurIPS 2022
MDAN: Multi-Level Dependent Attention Network for Visual Emotion Analysis
CVPR 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
ICML 2022