Phillip Wallis

3 papers · 2020–2025 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICLR (2) AAAI (1)

Top co-authors

Che-Ping Tsai (1) Weizhu Chen (1) Zeyuan Allen-Zhu (1) Amirmohammad Rooshenas (1) Yelong Shen (1) Wei Ding (1) Shiv Shankar (1) Edward J Hu (1) MohamadAli Torkamani (1) Yuanzhi Li (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Natural Language Processing (2) Core AI (2) Core Methods (2) Resources & Methods (2) Architectures (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Techniques (1)

Keywords

large language model (2) model compression (1) unsupervised learning (1) data transformation (1) function approximation (1) machine learning (1) parameter-efficient fine-tuning (1) low-rank adaptation (1) activation function (1) differential equation (1) ordinary differential equation (1) trainable parameter (1) neural network (1) rank decomposition (1) negative log-likelihood (1) tabular anomaly detection (1) neural network architecture (1) functional form (1)

Papers

AnoLLM: Large Language Models for Tabular Anomaly Detection ICLR 2025 LoRA: Low-Rank Adaptation of Large Language Models ICLR 2022 Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020