Ji Xin
16 papers · 2018–2023 · 4 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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🗺️ Taxonomy Completionist (43) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(14)
🧬
Topic Evolution
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
📈
Trend Setter
🗃️
Keyword Collector
(87)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(9)
Application Areas
(8)
Artificial Intelligence
(6)
Natural Language Processing
(6)
Core AI
(6)
Architectures
(5)
Core Methods
(5)
Optimization & Theory · Machine Learning
(5)
Optimization & Theory · Deep Learning
(5)
Applications · Natural Language Processing
(4)
Learning Types · Deep Learning
(4)
Computer Science
(3)
Applications · Computer Science
(3)
Learning Types · Machine Learning
(2)
Keywords
model compression
(4)
early exiting
(3)
information bottleneck
(2)
bert model
(2)
inference acceleration
(2)
knowledge distillation
(2)
early exit
(2)
variational inference
(1)
few-shot learning
(1)
representation learning
(1)
noisy label learning
(1)
information retrieval
(1)
passage retrieval
(1)
dense retrieval
(1)
adversarial learning
(1)
feature attribution
(1)
model analysis
(1)
principal component analysis
(1)
neural network interpretability
(1)
automatic speech recognition
(1)
Papers
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers
ACL 2023
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking
EMNLP 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
NeurIPS 2022
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
ACL 2022
Bag-of-Words Baselines for Semantic Code Search
ACL 2021
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression
EACL 2021
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks
EMNLP 2021
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval
EMNLP 2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
ACL 2021
Voice Query Auto Completion
EMNLP 2021
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
ACL 2020
Early Exiting BERT for Efficient Document Ranking
EMNLP 2020
Inserting Information Bottlenecks for Attribution in Transformers
EMNLP 2020
Showing Your Work Doesn’t Always Work
ACL 2020
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons
EMNLP 2019
Put It Back: Entity Typing with Language Model Enhancement
EMNLP 2018