conftrace_

Adithya Samavedhi

2 papers · 2023–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird

Venues

EACL (1) EMNLP (1)

Top co-authors

Akshita Jha (1) Jingbo Shang (1) Jaideep Chandrashekar (1) Dheeraj Mekala (1) Chandan Reddy (1) Chengyu Dong (1) Vineeth Rakesh (1)

Research topics

Deep Learning (2) Machine Learning (2) Application Areas (1) Architectures (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

model calibration (1) self-supervised learning (1) distribution shift (1) pairwise ranking (1) deep neural network (1) out-of-distribution detection (1) feed-forward network (1) ranking loss (1) calibration error (1) document embedding (1) long document matching (1) transformer-based model (1) neural network (1)

Papers

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023 Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis EACL 2023