Nevin L. Zhang
22 papers · 2004–2025 · 11 venues · across top CS/AI venues
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Machine Learning
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text generation
(3)
knowledge distillation
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dialogue system
(3)
lifelong learning
(2)
language model
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catastrophic forgetting
(2)
variational autoencoder
(2)
deep neural network
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memory network
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gaussian mixture model
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robust optimization
(1)
dirichlet process
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variational inference
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transfer learning
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few-shot learning
(1)
adversarial learning
(1)
image classification
(1)
adversarial robustness
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cluster analysis
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feature learning
(1)
Papers
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
ICML 2025
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
AAAI 2025
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
NeurIPS 2024
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
COLING 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
NeurIPS 2024
Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration
ACL 2023
Two-stage holistic and contrastive explanation of image classification
UAI 2023
ViT-CX: Causal Explanation of Vision Transformers
IJCAI 2023
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory
EMNLP 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
EMNLP 2022
Semi-Supervised Lifelong Language Learning
EMNLP 2022
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
NeurIPS 2022
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
ACL 2021
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
ACL 2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
AAAI 2021
Not All Attention Is Needed: Gated Attention Network for Sequence Data
AAAI 2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
ACL 2020
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
ICLR 2019
Learning to Abstract for Memory-augmented Conversational Response Generation
ACL 2019
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
IJCAI 2018
Bayesian Adaptive Matrix Factorization With Automatic Model Selection
CVPR 2015
Hierarchical Latent Class Models for Cluster Analysis
JMLR 2004