Co-occurring keywords · papers mentioning both
Papers
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
ICML 2024
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
ICLR 2024
Infrared Adversarial Car Stickers
CVPR 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
NeurIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
NeurIPS 2024
Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning
CVPR 2024
Innovative Directional Encoding in Speech Processing: Leveraging Spherical Harmonics Injection for Multi-Channel Speech Enhancement
IJCAI 2024
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
NeurIPS 2024
Interpretability Guarantees with Merlin-Arthur Classifiers
AISTATS 2024
Interpretability of Language Models via Task Spaces
ACL 2024
Interpretable data-driven model predictive control of building energy systems using SHAP
L4DC 2024
Interpretable Mesomorphic Networks for Tabular Data
NeurIPS 2024
Interpretable Object Recognition by Semantic Prototype Analysis
WACV 2024
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions
EMNLP 2024
Interpreting Robustness Proofs of Deep Neural Networks
ICLR 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks
AISTATS 2024
Investigating grammatical abstraction in language models using few-shot learning of novel noun gender
EACL 2024
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain
AAAI 2024
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
NeurIPS 2024
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
NeurIPS 2024
iToF-flow-based High Frame Rate Depth Imaging
CVPR 2024
Koopman-based generalization bound: New aspect for full-rank weights
ICLR 2024
L2P-MIP: Learning to Presolve for Mixed Integer Programming
ICLR 2024
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
EMNLP 2024
Lagrangian Flow Networks for Conservation Laws
ICLR 2024