India in Research
CS
ICLR
2024

International Conference on Learning Representations, 2024. Vienna, Austria.

Paper Statistics

List of accepted papers where maximum authors are from Indian Institutes. More details here.

12

total accepted

0.53%

conference contribution
Paper Title
Authors
Affiliation
Venue
Primary Area
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge DistillationAyan Sengupta, Shantanu Dixit, Md Shad Akhtar, Tanmoy ChakrabortyIndian Institute of Technology Delhi, Indraprastha Institute of Information Technology DelhiICLRtransfer learning, meta learning, and lifelong learninglink
Bayesian Coreset Optimization for Personalized Federated LearningPrateek Chanda, Shrey Modi, Ganesh RamakrishnanIndian Institute of Technology BombayICLRgeneral machine learning (i.e., none of the above)link
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal GraphsAnson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro SuzumuraHERE Technologies, India, International Crops Research Institute for the Semi-Arid Tropics, RWTH Aachen University, Indian Institute of Technology Hyderabad, The University of TokyoICLRdata management and algorithmslink
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian DynamicsSuresh Bishnoi, Jayadeva Jayadeva, Sayan Ranu, N M Anoop KrishnanIndian Institute of Technology DelhiICLRapplications to physical sciences (physics, chemistry, biology, etc.)link
Cycle Consistency Driven Object DiscoveryAniket Didolkar, Anirudh Goyal, Yoshua BengioManipal Academy of Higher Education, Google (United States), Université de MontréalICLRadvanced neural network applicationslink
Mirage: Model-agnostic Graph Distillation for Graph ClassificationMridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan RanuIndian Institute of Technology DelhiICLRadvanced graph neural networkslink
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Country Distribution

Country-wise distribution of all accepted papers in the venue. Learn how we identify that here.

16th

country rank

Locale Highlights

Highlighting Indian Institutes contributing to papers in the venue. See algorithmic details here.
Indian Institute of Technology Delhi leads at 3 papers

Undergraduate Participation

Split of undergraduate, postgraduate, faculty and industry authors among the accepted Indian papers. Checkout data sources here.

12%

undergraduate participation

3

/

26

author contributions

Rating Score Distribution

Comparison of rating reviewer scores of Indian papers with US and Chinese papers.
Metric (Higher is better)INCNUS
Mean6.546.466.48
% Papers > 7.508.339.6311.11
% Papers < 5.67 (lower is better)16.6710.9810.78
50th Percentile (Median)6.586.506.50
95th Percentile (approx Max)7.907.507.75
5th Percentile (approx Min)5.285.505.50

Novelty Score Distribution

Comparison of novelty reviewer scores of Indian papers with US and Chinese papers.
Metric (Higher is better)INCNUS
Mean2.722.772.76
% Papers > 3.2516.6712.3312.31
% Papers < 2.31 (lower is better)16.678.6710.02
50th Percentile (Median)2.712.752.75
95th Percentile (approx Max)3.253.333.33
5th Percentile (approx Min)2.142.252.25