Deep Learning
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
Despite these successes, the highly technical nature of financial texts requires domain-specific LLMs to understand complex financial language and concepts effectively.
Multi-objects Generation with Amortized Structural Regularization
Taufik Xu, Chongxuan LI, Jun Zhu, Bo Zhang
Neural Information Processing Systems http://nips.cc/
PCA of high dimensional random walks with comparison to neural network training
Joseph Antognini, Jascha Sohl-Dickstein
Neural Information Processing Systems http://nips.cc/
Natasha 2: Faster Non-Convex Optimization Than SGD
In diverse world of deep learning research has given rise to numerous architectures for neural networks(convolutionalones,longshorttermmemoryones,etc). However,tothisdate,theunderlying training algorithms for neural networks are still stochastic gradient descent (SGD) and its heuristic variants.
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song
Neural Information Processing Systems http://nips.cc/
a1e865a9b1065392ed6035d8ccd072d9-Paper.pdf
Unfortunately,the per-iteration cost of maintaining this adaptivedistribution for gradient estimation is more than calculating the full gradient itself, which we call the chicken-and-the-egg loop. As a result, the false impression of faster convergence in iterations, inreality,leads to slower convergence in time.
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Mahmoud ("Mido") Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
Neural Information Processing Systems http://nips.cc/
