James Diffenderfer
11 papers · 2021–2025 · 6 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 ↓+5 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π€ Dynamic Duo (11)
π
Triple Crown
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(61)
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(8)
Deep Learning
(6)
Machine Learning
(6)
Application Areas
(4)
Optimization & Theory
(3)
Techniques
(3)
Natural Language Processing
(2)
Learning Types Β· Machine Learning
(2)
Resources & Methods
(2)
Mathematics & Optimization
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Optimization
(1)
Keywords
large language model
(3)
board game
(2)
out-of-distribution generalization
(2)
lottery ticket hypothesis
(2)
strategic reasoning
(2)
model pruning
(2)
transfer learning
(1)
model unlearning
(1)
benchmark suite
(1)
fairness
(1)
data augmentation
(1)
network pruning
(1)
fourier analysis
(1)
adversarial training
(1)
benchmark evaluation
(1)
gradient estimation
(1)
knowledge editing
(1)
model editing
(1)
machine unlearning
(1)
model robustness
(1)
Papers
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
ICCV 2025
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
ICML 2024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
ICML 2024
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
ICLR 2024
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
NeurIPS 2024
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models
NAACL 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
EMNLP 2024
Neural Image Compression: Generalization, Robustness, and Spectral Biases
NeurIPS 2023
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
NeurIPS 2022
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness
NeurIPS 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
ICLR 2021