Mention ImageNet in 1 Hour as "Goyal et al."

README.ko.md

@@ -110,13 +110,13 @@ Parallelism이 적용되지 않고 Checkpointing 오버헤드만 있어서 naive
 
 ### ResNet-101 정확도 벤치마크
 
-배치크기 | torchgpipe | nn.DataParalle | 논문
+배치크기 | torchgpipe | nn.DataParalle | Goyal et al.
 --: | ---------: | ---------: | ---------:
 256 | 21.99±0.13 | 22.02±0.11 | 22.08±0.06
  1k | 22.24±0.19 | 22.04±0.24 |        N/A
  4k | 22.13±0.09 |        N/A |        N/A
 
-[Accurate, Large Minibatch SGD 논문](https://arxiv.org/abs/1706.02677)의 테이블
+[Accurate, Large Minibatch SGD](https://arxiv.org/abs/1706.02677) 논문의 테이블
 2(c)에 보고된 ResNet-101 정확도(오답률) 벤치마크를 재현했습니다.
 
 [examples/resnet101_accuracy_benchmark](examples/resnet101_accuracy_benchmark)에서

README.md

@@ -119,15 +119,15 @@ The reproducible code can be found in
 
 ### ResNet-101 Accuracy Benchmark
 
-Batch size | torchgpipe | nn.DataParallel | ImageNet in 1 Hour
+Batch size | torchgpipe | nn.DataParallel | Goyal et al.
 --: | ---------: | ---------: | ---------:
 256 | 21.99±0.13 | 22.02±0.11 | 22.08±0.06
  1k | 22.24±0.19 | 22.04±0.24 |        N/A
  4k | 22.13±0.09 |        N/A |        N/A
 
 The table shows the reproduced accuracy(top-1 error rate) benchmark on
 ResNet-101, as stated by reported in Table 2(c) of [Accurate, Large Minibatch
-SGD paper](https://arxiv.org/abs/1706.02677).
+SGD](https://arxiv.org/abs/1706.02677) paper.
 
 The reproducible code can be found in
 [examples/resnet101_accuracy_benchmark](examples/resnet101_accuracy_benchmark).