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Title
Chandan Singh | chandan singh
Length : 30
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Description
Let's do good with models
Length : 25
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Keywords
Machine Learning, Chandan Singh, Berkeley, Interpretability, Explainability, Causal Inference
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| 1 | 3 | 11 | 0 | 0 | 0 |
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In-page links
We found a total of 209 links including 40 link(s) to files
| Anchor | Type | Juice |
|---|---|---|
| Chandan Singh | Internal | Passing Juice |
| Research | Internal | Passing Juice |
| Resources | Internal | Passing Juice |
| Experience | Internal | Passing Juice |
| cv | External | Passing Juice |
| deep learning group | External | Passing Juice |
| bin yu | External | Passing Juice |
| LLM interpretability | External | Passing Juice |
| augmented imodels | External | Passing Juice |
| tree prompting | External | Passing Juice |
| attention steering | External | Passing Juice |
| explanation penalization | External | Passing Juice |
| adaptive wavelet distillation | External | Passing Juice |
| interpretable autoprompting | External | Passing Juice |
| human-ai co-design of clinical models | External | Passing Juice |
| greedy tree sums | External | Passing Juice |
| clinical self-verification | External | Passing Juice |
| clinical rule vetting | External | Passing Juice |
| clinical rule bias assessment | External | Passing Juice |
| generative causal testing | External | Passing Juice |
| qa encoding models | External | Passing Juice |
| summarize & score explanations | External | Passing Juice |
| imodels | External | Passing Juice |
| imodelsX | External | Passing Juice |
| NeurIPS | External | Passing Juice |
| NeurIPS | External | Passing Juice |
| NeurIPS | External | Passing Juice |
| EMNLP | External | Passing Juice |
| npj Digital Medicine | External | Passing Juice |
| nature scientific reports | External | Passing Juice |
| icml | External | Passing Juice |
| iclr | External | Passing Juice |
| neurips | External | Passing Juice |
| arxiv | External | Passing Juice |
| COLING | External | Passing Juice |
| tmlr | External | Passing Juice |
| arxiv | External | Passing Juice |
| ml4h findings | External | Passing Juice |
| nature communications | External | Passing Juice |
| arXiv | External | Passing Juice |
| pnas | External | Passing Juice |
| icml (spotlight) | External | Passing Juice |
| joss | External | Passing Juice |
| joss | External | Passing Juice |
| neurips | External | Passing Juice |
| cvpr workshop | External | Passing Juice |
| jmlr | External | Passing Juice |
| hdsr | External | Passing Juice |
| iclr workshop (spotlight) | External | Passing Juice |
| ICLR | External | Passing Juice |
| pnas | External | Passing Juice |
| arxiv | External | Passing Juice |
| TPAMI | External | Passing Juice |
| J Comp Neuro | External | Passing Juice |
| Plos One | External | Passing Juice |
| neurips Workshop | External | Passing Juice |
| causal inference | Internal | Passing Juice |
| complexity | Internal | Passing Juice |
| disentanglement | Internal | Passing Juice |
| dl theory | Internal | Passing Juice |
| generalization | Internal | Passing Juice |
| interesting science | Internal | Passing Juice |
| interpretability ⭐ | Internal | Passing Juice |
| llms ⭐ | Internal | Passing Juice |
| ml in medicine | Internal | Passing Juice |
| omics | Internal | Passing Juice |
| scattering transform | Internal | Passing Juice |
| transfer learning | Internal | Passing Juice |
| uncertainty | Internal | Passing Juice |
| knowledge flow | External | Passing Juice |
| long dllm | External | Passing Juice |
| automated brain explanations | External | Passing Juice |
| data science benchmarks | Internal | Passing Juice |
| interpretable text models (with LLMs) | Internal | Passing Juice |
| tensor product representations | Internal | Passing Juice |
| paper-writing tips | Internal | Passing Juice |
| forecasting paper titles | External | Passing Juice |
| figs | External | Passing Juice |
| imodels | External | Passing Juice |
| adaptive wavelet distillation | External | Passing Juice |
| ml coding tips | Internal | Passing Juice |
| quick intro to attribution methods | Internal | Passing Juice |
| what is interpretability? | Internal | Passing Juice |
| evaluating interpretability | Internal | Passing Juice |
| connectomics | Internal | Passing Juice |
| model improvement checklist | Internal | Passing Juice |
| beautiful slides with reveal-md | Internal | Passing Juice |
| latex useful tips | Internal | Passing Juice |
| neural coding | Internal | Passing Juice |
| imagenet quickstart | Internal | Passing Juice |
| rethinking interpretability | External | Passing Juice |
| automated brain explanations | External | Passing Juice |
| explanations from text data | External | Passing Juice |
| intro ml | Internal | Passing Juice |
| llm interpretability / data science overview | External | Passing Juice |
| uniting trees and LLMs | External | Passing Juice |
| phd research ovw (animated) | External | Passing Juice |
| intro ai | Internal | Passing Juice |
| deep learning interpretation ovw | External | Passing Juice |
| interpretability workshop | External | Passing Juice |
| dnn experiments | Internal | Passing Juice |
| hummingbird | External | Passing Juice |
| ai futures | Internal | Passing Juice |
| cognitive science | Internal | Passing Juice |
| decisions, rl | Internal | Passing Juice |
| fairness, sts | Internal | Passing Juice |
| representations | Internal | Passing Juice |
| llms | Internal | Passing Juice |
| logic | Internal | Passing Juice |
| philosophy | Internal | Passing Juice |
| psychology | Internal | Passing Juice |
| search | Internal | Passing Juice |
| algorithms | Internal | Passing Juice |
| architecture | Internal | Passing Juice |
| cs theory | Internal | Passing Juice |
| data structures | Internal | Passing Juice |
| databases | Internal | Passing Juice |
| graphs | Internal | Passing Juice |
| languages | Internal | Passing Juice |
| os | Internal | Passing Juice |
| quantum | Internal | Passing Juice |
| reproducibility | Internal | Passing Juice |
| info retrieval | Internal | Passing Juice |
| software engineering | Internal | Passing Juice |
| real analysis | Internal | Passing Juice |
| calculus | Internal | Passing Juice |
| chaos | Internal | Passing Juice |
| differential equations | Internal | Passing Juice |
| linear algebra | Internal | Passing Juice |
| math basics | Internal | Passing Juice |
| optimization | Internal | Passing Juice |
| proofs | Internal | Passing Juice |
| signals | Internal | Passing Juice |
| classification | Internal | Passing Juice |
| computer vision | Internal | Passing Juice |
| deep learning | Internal | Passing Juice |
| evaluation | Internal | Passing Juice |
| feature selection | Internal | Passing Juice |
| kernels | Internal | Passing Juice |
| learning theory | Internal | Passing Juice |
| nlp | Internal | Passing Juice |
| structure learning | Internal | Passing Juice |
| unsupervised | Internal | Passing Juice |
| brain basics | Internal | Passing Juice |
| comp neuro | Internal | Passing Juice |
| development | Internal | Passing Juice |
| disease | Internal | Passing Juice |
| memory | Internal | Passing Juice |
| motor system | Internal | Passing Juice |
| sensory input | Internal | Passing Juice |
| vision | Internal | Passing Juice |
| causal inference | Internal | Passing Juice |
| data analysis | Internal | Passing Juice |
| game theory | Internal | Passing Juice |
| graphical models | Internal | Passing Juice |
| info theory | Internal | Passing Juice |
| linear models | Internal | Passing Juice |
| statistics | Internal | Passing Juice |
| testing | Internal | Passing Juice |
| time series | Internal | Passing Juice |
| dumb stuff here. | Internal | Passing Juice |
| pretrained pytorch gans | External | Passing Juice |
| sensible local interpretations | External | Passing Juice |
| data-viz utils | Internal | Passing Juice |
| gan brain decoding | External | Passing Juice |
| scattering transform | External | Passing Juice |
| glaucoma diagnosis | External | Passing Juice |
| mini-games in java | External | Passing Juice |
| news bias comparisons | Internal | Passing Juice |
| generating paper acronyms | External | Passing Juice |
| visualizing large cities | Internal | Passing Juice |
| news balancer web | Internal | Passing Juice |
| hummingbird tracking | External | Passing Juice |
| biophysical simulations | External | Passing Juice |
| interpretability code | External | Passing Juice |
| lunch wheel | External | Passing Juice |
| sports rankings with plotly | Internal | Passing Juice |
| paige ai | External | Passing Juice |
| pacmed ai | External | Passing Juice |
| bin yu group | External | Passing Juice |
| meta ai | External | Passing Juice |
| aws | External | Passing Juice |
| Yanjun Qi | External | Passing Juice |
| William Levy | External | Passing Juice |
| Srini Turaga | External | Passing Juice |
| jianfeng gao | External | Passing Juice |
| bin yu | External | Passing Juice |
| yanjun qi | External | Passing Juice |
| pietro perona | External | Passing Juice |
| william levy | External | Passing Juice |
| aaron kornblith | External | Passing Juice |
| alex huth | External | Passing Juice |
| gokul upadhyayula | External | Passing Juice |
| francois lanusse | External | Passing Juice |
| yufan zhuang | External | Passing Juice |
| yanda chen | External | Passing Juice |
| qingru zhang | External | Passing Juice |
| Eunji Kim | External | Passing Juice |
| Sriya Mantena | External | Passing Juice |
| Ziyang Wu | External | Passing Juice |
| Kai Zhang | External | Passing Juice |
| Sahil Verma | External | Passing Juice |
| Yanda Chen | External | Passing Juice |
| keyan nasseri | External | Passing Juice |
| saarim rahman | External | Passing Juice |
| rush kapoor | External | Passing Juice |
| sahil saxena | External | Passing Juice |
| summer devlin | External | Passing Juice |
| chris lu | External | Passing Juice |
Keywords Cloud
gao research explanations learning llms interpretable models singh clinical language
Keywords Consistency
| Keyword | Content | Title | Keywords | Description | Headings |
|---|---|---|---|---|---|
| singh | 33 | ![]() |
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| models | 20 | ![]() |
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| clinical | 15 | ![]() |
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| learning | 11 | ![]() |
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| language | 10 | ![]() |
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Url
Domain : csinva.io
Length : 9
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Warnings : 0
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