ICLR
The International Conference on Learning Representations (ICLR) is a leading academic conference in the fields of machine learning and deep learning.
Core Facts
ICLR adopts an OpenReview mechanism, under which papers, review comments, author responses, and discussions are visible to the entire academic community during specific stages.
ICLR is an abbreviation for International Conference on Learning Representations and is one of the most influential conferences in the field of deep learning.
ICLR submission volumes grew from approximately 1,500 in 2019 to surpassing 10,000 in 2022.
Timeline (last 90 days)
A senior reviewer has reviewed for top conferences such as NeurIPS, ICML, AAAI, and ICLR about 10 times since 2022.
Among 3 ICLR submissions, this reviewer felt only 1 was written 100% by humans.
Papers from AI Scientist and Autoscience passed double-blind review at the International Conference on Learning Representations (ICLR).
ICLR 2027 is sending desk reject notifications to submitters.
According to statistics in recent years, PyTorch accounts for more than 60% of paper implementations at conferences such as CVPR, NeurIPS and ICLR, significantly ahead of TensorFlow and JAX.
ICLR is a top conference in the deep learning field, known for open review, where all submissions and review comments are publicly visible.
A researcher who reviews for both ICLR and AAMAS posted on Reddit, saying that the eight submissions they handled were outrageously poor in quality and advising authors not to submit if they are not ready.
ICLR officials have not yet issued a statement on the zero assignment of reciprocal reviewers at ICLR 2027.
The zero assignment of reciprocal reviewers at ICLR 2027 is not an isolated case; based on community discussions, multiple people have encountered similar situations.
A Bilibili uploader speculated that ICLR 2027 submissions may hit a new high, leading to a surplus of reviewers, but this claim has not been officially confirmed and is marked as personal speculation.
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All Facts (20)
ICLR adopts an OpenReview mechanism, under which papers, review comments, author responses, and discussions are visible to the entire academic community during specific stages.
75%VerifiedICLR is an abbreviation for International Conference on Learning Representations and is one of the most influential conferences in the field of deep learning.
75%VerifiedICLR submission volumes grew from approximately 1,500 in 2019 to surpassing 10,000 in 2022.
75%VerifiedICLR achieves transparency in open peer review through OpenReview
75%VerifiedThe number of submissions to ICLR 2024 surpassed the ten-thousand mark.
75%UnverifiedICLR uses OpenReview's open peer review, where all submitted papers, reviewer comments, author responses, and final decisions are publicly visible, but reviewer identities remain anonymous.
70%UnverifiedOpenReview has been widely adopted by top machine learning conferences such as ICLR.
60%UnverifiedA senior reviewer has reviewed for top conferences such as NeurIPS, ICML, AAAI, and ICLR about 10 times since 2022.
50%UnverifiedAmong 3 ICLR submissions, this reviewer felt only 1 was written 100% by humans.
50%UnverifiedPapers from AI Scientist and Autoscience passed double-blind review at the International Conference on Learning Representations (ICLR).
50%UnverifiedAccording to statistics in recent years, PyTorch accounts for more than 60% of paper implementations at conferences such as CVPR, NeurIPS and ICLR, significantly ahead of TensorFlow and JAX.
50%UnverifiedICLR is a top conference in the deep learning field, known for open review, where all submissions and review comments are publicly visible.
50%UnverifiedThe zero assignment of reciprocal reviewers at ICLR 2027 is not an isolated case; based on community discussions, multiple people have encountered similar situations.
50%UnverifiedICLR's handling of those who fail to fulfill their reviewing obligations has not always been open and transparent historically.
50%UnverifiedThe example sentence quoted in the article, "outperforms the best baseline costing no more at none of six operating points and a permuted placebo at none of three, with gains up to about 1.5 not excluded", stacks multiple negations and conditions, making it impossible for readers to judge the experimental conclusion.
50%UnverifiedICLR is one of the top conferences in machine learning, known for its open review and rigorous peer review process.
50%UnverifiedICLR is known for its 'open review' (OpenReview) mechanism: all submissions, review comments and author responses are public throughout, and anyone can browse and comment.
50%UnverifiedAccording to figures mentioned in the Reddit post, ICLR received more than 60,000 submissions this cycle.
50%UnverifiedICLR 2020 received about 2,600 submissions.
50%UnverifiedICLR's submission window is relatively fixed, and it sets no strict cap on submissions.
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