conftrace_
← Learning Types
Deep Learning › Learning Types ›

Adversarial Learning

2,112 papers

Papers per year

2
2
310
256
'10
'15
'20
'25

Papers

Augmented Adversarial Self-Supervised Learning for Early-Stage Alzheimer's Speech Detection INTERSPEECH 2022
Fine-grained Noise Control for Multispeaker Speech Synthesis INTERSPEECH 2022
CMGAN: Conformer-based Metric GAN for Speech Enhancement INTERSPEECH 2022
Vaccinating SER to Neutralize Adversarial Attacks with Self-Supervised Augmentation Strategy INTERSPEECH 2022
Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings INTERSPEECH 2022
DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders INTERSPEECH 2022
RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses INTERSPEECH 2022
Adversarial Multi-Task Learning for Disentangling Timbre and Pitch in Singing Voice Synthesis INTERSPEECH 2022
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis INTERSPEECH 2022
Towards Cross-speaker Reading Style Transfer on Audiobook Dataset INTERSPEECH 2022
An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022
Improved Generalization Bounds for Adversarially Robust Learning JMLR 2022
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model NAACL 2022
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation NAACL 2022
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation NAACL 2022
Embedding Hallucination for Few-shot Language Fine-tuning NAACL 2022
Multi-Level Attentive Adversarial Learning With Temporal Dilation for Unsupervised Video Domain Adaptation WACV 2022
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis WACV 2022
Learning Foreground-Background Segmentation From Improved Layered GANs WACV 2022
Style Agnostic 3D Reconstruction via Adversarial Style Transfer WACV 2022
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks NIPS 2021
Learning Transferable Adversarial Perturbations NIPS 2021
Improving Calibration through the Relationship with Adversarial Robustness NIPS 2021
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NIPS 2021
What Matters for Adversarial Imitation Learning? NIPS 2021