**X. Chen**

Latest

• Hyperparameter Tuning is All You Need for LISTA
• The Elastic Lottery Ticket Hypothesis
• Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
• Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
• EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets
• Learning to Optimize: A Primer and A Benchmark
• A Design Space Study for LISTA and Beyond
• Learning A Minimax Optimizer: A Pilot Study
• SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training
• MATE: Plugging in Model Awareness to Task Embedding for Meta Learning
• ShiftAddNet: A Hardware-Inspired Deep Network
• Safeguarded Learned Convex Optimization
• Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
• SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
• Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
• E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving
• Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
• ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
• Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
• Can We Gain More from Orthogonality Regularizations in Training Deep Networks?