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paper-reading
Notes about papers I read (in Japanese)
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[2005.14165] Language Models are Few-Shot Learners [paper-reading]
#72
yoheikikuta
opened
1 week ago
11
[2019] Language Models are Unsupervised Multitask Learners [paper-reading]
#71
yoheikikuta
opened
2 weeks ago
17
[2018] Improving Language Understanding by Generative Pre-Training [paper-reading]
#70
yoheikikuta
opened
2 weeks ago
11
[1804.10959] Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates [paper-reading]
#69
yoheikikuta
opened
2 weeks ago
10
[1808.06226] SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing [paper-reading]
#68
yoheikikuta
opened
1 month ago
11
[1965] Contextual Correlates of Synonymy [paper-reading]
#67
yoheikikuta
opened
1 month ago
13
[1508.07909] Neural Machine Translation of Rare Words with Subword Units
#66
yoheikikuta
closed
2 months ago
1
[2204.06125] Hierarchical Text-Conditional Image Generation with CLIP Latents [paper-reading]
#65
yoheikikuta
opened
2 years ago
14
[2202.05240] ChemicalX: A Deep Learning Library for Drug Pair Scoring [paper-reading]
#64
yoheikikuta
opened
2 years ago
8
[2112.10741] GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models [paper-reading]
#63
yoheikikuta
opened
2 years ago
10
[2006.11239] Denoising Diffusion Probabilistic Models [paper-reading]
#62
yoheikikuta
opened
2 years ago
14
[2021] Mitigating Confounding Bias in Recommendation via Information Bottleneck [paper-reading]
#61
yoheikikuta
opened
2 years ago
10
[2021] Highly accurate protein structure prediction with AlphaFold [paper-reading]
#60
yoheikikuta
opened
3 years ago
18
[2104.08691] The Power of Scale for Parameter-Efficient Prompt Tuning [paper-reading]
#59
yoheikikuta
opened
3 years ago
12
[1909.08423] Deep neural network solution of the electronic Schrodinger equation [paper-reading]
#58
yoheikikuta
opened
3 years ago
9
[2103.00020] Learning Transferable Visual Models From Natural Language Supervision [paper-reading]
#57
yoheikikuta
opened
3 years ago
13
[2010.11929] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale [paper-reading]
#56
yoheikikuta
opened
3 years ago
9
[1910.10683] Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer [paper-reading]
#55
yoheikikuta
opened
3 years ago
19
[2006.01245] An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results [paper-reading]
#54
yoheikikuta
opened
4 years ago
15
[2004.10964] Don't Stop Pretraining: Adapt Language Models to Domains and Tasks [paper-reading]
#53
yoheikikuta
opened
4 years ago
11
[1911.02855] Dice Loss for Data-imbalanced NLP Tasks [paper-reading]
#52
yoheikikuta
opened
4 years ago
11
[2019] A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis [paper-reading]
#51
yoheikikuta
opened
4 years ago
8
[1908.03265] On the Variance of the Adaptive Learning Rate and Beyond [paper-reading]
#50
yoheikikuta
opened
4 years ago
12
[1810.00740] Improving the Generalization of Adversarial Training with Domain Adaptation [paper-reading]
#49
yoheikikuta
opened
4 years ago
11
[1808.02651] Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer [paper-reading]
#48
yoheikikuta
opened
4 years ago
11
[1905.11946] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks [paper-reading]
#47
yoheikikuta
opened
4 years ago
10
[1906.01563] Hamiltonian Neural Networks [paper-reading]
#46
yoheikikuta
opened
4 years ago
12
[1903.10346] Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition [paper-reading]
#45
yoheikikuta
opened
4 years ago
12
[1906.07132] Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA [paper-reading]
#44
yoheikikuta
opened
4 years ago
11
[1906.02443] Robust Neural Machine Translation with Doubly Adversarial Inputs [paper-reading]
#43
yoheikikuta
opened
4 years ago
12
[2007.06174] Generating Fluent Adversarial Examples for Natural Languages [paper-reading]
#42
yoheikikuta
opened
4 years ago
10
[2019] Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency [paper-reading]
#41
yoheikikuta
opened
4 years ago
11
[1907.00208] Deep Gamblers: Learning to Abstain with Portfolio Theory [paper-reading]
#40
yoheikikuta
opened
4 years ago
10
[1906.02629] When Does Label Smoothing Help? [paper-reading]
#39
yoheikikuta
opened
4 years ago
9
[1909.11942] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations [paper-reading]
#38
yoheikikuta
opened
4 years ago
10
[1902.03245] Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability [paper-reading]
#37
yoheikikuta
opened
4 years ago
10
[1810.06401] Rate Distortion For Model Compression: From Theory To Practice [paper-reading]
#36
yoheikikuta
opened
5 years ago
13
[1905.02175] Adversarial Examples Are Not Bugs, They Are Features [paper-reading]
#35
yoheikikuta
opened
5 years ago
13
[1909.03186] On Extractive and Abstractive Neural Document Summarization with Transformer Language Models [paper-reading]
#34
yoheikikuta
opened
5 years ago
10
[1904.00759] Adversarial camera stickers: A physical camera-based attack on deep learning systems [paper-reading]
#33
yoheikikuta
opened
5 years ago
10
[1905.10964] Combating Label Noise in Deep Learning Using Abstention [paper-reading]
#32
yoheikikuta
opened
5 years ago
10
[1907.11692] RoBERTa: A Robustly Optimized BERT Pretraining Approach [paper-reading]
#31
yoheikikuta
opened
5 years ago
9
[1901.02860] Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context [paper-reading]
#30
yoheikikuta
opened
5 years ago
8
[1803.11175] Universal Sentence Encoder [paper-reading]
#29
yoheikikuta
opened
5 years ago
13
[0004057] The information bottleneck method [paper-reading]
#28
yoheikikuta
opened
5 years ago
9
[1703.00810] Opening the Black Box of Deep Neural Networks via Information [paper-reading]
#27
yoheikikuta
opened
5 years ago
11
[1503.02406] Deep Learning and the Information Bottleneck Principle [paper-reading]
#26
yoheikikuta
opened
5 years ago
11
[2001] Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data [paper-reading]
#25
yoheikikuta
opened
5 years ago
13
[1801.07698] ArcFace: Additive Angular Margin Loss for Deep Face Recognition [paper-reading]
#24
yoheikikuta
opened
5 years ago
11
[2000] Maximum Entropy Markov Models for Information Extraction and Segmentation [paper-reading]
#23
yoheikikuta
opened
5 years ago
15
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