복권 가설 퀴즈

퀴즈를 풀면 정답과 설명이 나타납니다.

1. 이 가설에서 '당첨권'이란 무엇입니까?
   • 원래 초기화에서 학습되어 전체 네트워크와 일치하는 희소 하위 네트워크
   • 평소보다 더 많은 매개변수를 가진 네트워크
   • 인터넷에서 다운로드한 사전 훈련된 모델
   • 무작위로 추측된 하이퍼파라미터 세트
2. In the original lottery-ticket experiments, what was paired with the discovered sparse mask when retraining a ticket?
   • Fresh random values for every surviving weight
   • The surviving weights’ matched original initialization
   • A different architecture for each pruning round
   • The final trained weights with no resetting
3. 복권 가설을 제안한 사람은 누구입니까?
   • 굿펠로우 (2014)
   • Krizhevsky, Sutskever, Hinton (2012)
   • 프랭클과 카빈 (2018)
   • 실버와 동료들 (2016)
4. Which procedure did the original Lottery Ticket Hypothesis paper use to identify winning tickets?
   • Randomly remove a fixed half of all weights once
   • Iterative magnitude pruning with a reset to the original initialization
   • Add dropout after each pruning round
   • Increase the learning rate after every epoch
5. How should the idea that overparameterization helps optimization find a trainable sparse structure be described?
   • A conjecture or proposed explanation, not a result established by the original experiments
   • A theorem proven for every neural-network architecture
   • A guarantee that all weights can be removed without loss
   • A claim that pruning eliminates the need for training data
6. What does a strong lottery-ticket result claim in its theoretical setting?
   • Every randomly initialized network already solves any task
   • A sufficiently overparameterized randomly initialized network can contain a pruned subnetwork that approximates a target without further weight training
   • Pruning always preserves the trained model’s accuracy
   • A sparse network never needs data
7. What does iterative magnitude pruning remove at each pruning step?
   • The training examples with the lowest labels
   • The neurons with the most outgoing connections
   • Weights with the smallest magnitudes
   • All weights in the final layer
8. Which datasets were used in the original paper’s reported lottery-ticket experiments?
   • ImageNet and COCO only
   • LibriSpeech and Common Voice
   • SQuAD and GLUE
   • MNIST and CIFAR-10