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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?
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