SlowGuess/NeurIPS_2023_OCR huggingface dataset:
[CLS] american dream ##z try ##s to be american idol with a political agenda on the bush ad ##mins #tra #tion which in itself goes all over the place & never provides entertainment . hugh grant is a actor who pretty much hit his peak well over a decade ago & his take as simon from idol is rather just there . mandy moore is ok nothing to say more than she may be a bit player as a actress at best . this film takes on so much to be a satire , but it ends up with more questions then any answers . too long & over ##bl #own , william def ##oe was trying to look like dick cheney but ended up looking more like henry fond ##a . dennis qu ##aid was channel #ing george bush with mixed results , just a ok film . [SEP]
[CLS] the mind of till ##ie cole must be quite an interesting place . in her third book of the scarred souls series cole once again explores the deepest parts of human de ##pr ##avi ##ty . it ' ll shock and outrage you , it ' ll make you feel so much more for her characters . ra ##va ##ge is told mainly from the points of views of 194 and z ##oya with a couple chapters from lu ##ka . it is not a stand alone book , in my opinion this series should be read in order . i ' ve been a fan of this series from the beginning . the darkness of human nature till ##ie cole continually portrays never cease ##s to engage me . her stories come from a place of raw honesty and empathy . her writing mature ##s with each book . the story of 194 and z ##oya and their roles in this tangled web of a world cole has created was as consuming as the others . however , for me , something was off in their relationship , in the romance . i missed the connection i felt with the previous books main characters . while cole dug deep into their past and pulled out their flaws and vu ##In ##era #bilities so well as individuals , an aspect of their chemistry and need for each other just didn ' t quite click , this series consistently moves forward though adding more depth and layers to the ultimate story and goals of all of these characters . and in that aspect , the story really excelled and has me just as intrigued in how it all works out as i ever was and i very much look forward to the next installment of the scarred souls series . ra ##va ##ge left much open to be explored and i ' m confident in cole ' s story telling to take me even deeper into her interesting ##ly de ##pr ##ave ##d world . [SEP]
[CLS] just keeps getting better and better ! if you like alpha men , strong heroine ##s and laughter with a dash of seriousness , don ' t miss this series ! ! [SEP]
(a) AMAZON-FeAT
Figure 7: Saliency map of feature learning on WILDS AMAZON benchmark (part 2). The green-colored tokens are the learned features that contributed most to the target class, while the red-colored tokens contributed to the other classes. It can be found that FeAT is able to learn more meaningful and diverse features than ERM and Bonsai.
(a) CAMELYON17-ERM
(b) CAMELYON17-Bonsai
(c) CAMELYON17-FeAT
(d) CAMELYON17-ERM
(e) CAMELYON17-Bonsai
(f) CAMELYON17-FeAT
(g) CAMELYON17-ERM
(h) CAMELYON17-Bonsai
(i) CAMELYON17-FeAT
(j) CAMELYON17-ERM
(k) CAMELYON17-Bonsai
(1) CAMELYON17-FeAT
Figure 8: Saliency map of feature learning on CAMELYON17 benchmark. The blue dots are the salient features. A deeper blue color denotes more salient features. It can be found that FeAT is able to learn more meaningful and diverse features than ERM and Bonsai.
(a) FMOW-ERM
(b) FMOw-Bonsai
(c) FMOw-FeAT
(d) FMOW-ERM
(e) FMoW-Bonsai
(f) FMOw-FeAT
(g) FMoW-ERM
(h) FMOw-Bonsai
(i) FMoW-FeAT
(j) FMOW-ERM
(k) FMOw-Bonsai
(1) FMoW-FeAT
Figure 9: Saliency map of feature learning on FMOW benchmark. The blue dots are the salient features. A deeper blue color denotes more salient features. It can be found that FeAT is able to learn more meaningful and diverse features than ERM and Bonsai.
(a) IWILDCAM-ERM
(b) IWILDCAM-Bonsai
(c) IWILDCAM-FeAT
(d) IWILDCAM-ERM
(e) IWILDCAM-Bonsai
(f) IWILDCAM-FeAT
(g) IWILDCAM-ERM
(h) IWILDCAM-Bonsai
(i) IWILDCAM-FeAT
(j)IWILDCAM-ERM
(k) 1WILDCAM-Bonsai
(1)IWILDCAM-FeAT
Figure 10: Saliency map of feature learning on IWILDCAM benchmark. The blue dots are the salient features. A deeper blue color denotes more salient features. It can be found that FeAT is able to learn more meaningful and diverse features than ERM and Bonsai.
(a) RXRx1-ERM
(b) RXRx1-Bonsai
(c) RXRx1-FeAT
(d) RXRx1-ERM
(e) RxRx1-Bonsai
(f) RxRx1-FeAT
(g) RXRx1-ERM
(h) RXRx1-Bonsai
(i) RXRx1-FeAT
(j) RxRx1-ERM
(k) RXRx1-Bonsai
(1) RXRx1-FeAT
Figure 11: Saliency map of feature learning on RxRx1 benchmark. The blue dots are the salient features. A deeper blue color denotes more salient features. It can be found that FeAT is able to learn more meaningful and diverse features than ERM and Bonsai.