Africa
MemoryFormer: Minimize Transformer Computation by Removing Fully-Connected Layers
However, the model size and corresponding computational complexity are constantly scaled up in pursuit of higher performance.
Optimal Algorithms for Learning Partitions with Faulty Oracles
This models applications where learners crowdsource information from non-expert human workers or conduct noisy experiments to determine group structure. The learner aims to exactly recover a partition by submitting queries of the form "are
On Reinforcement Learningand Distribution Matchingfor Fine-Tuning Language Models withno Catastrophic Forgetting
Twoofthemcanbecharacterizedas "Reward Maximization" (RM): Standard Policy Gradients (PG) and KL-control.
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang
Recall (higher is better): the ratio of selected ID instances to the total number of ID instances.
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Y ang
Recall (higher is better): the ratio of selected ID instances to the total number of ID instances.
