firstbacksecondback
166 Results
Workshop
|
Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport Alexander Tong · Nikolay Malkin · Guillaume Huguet · Yanlei Zhang · Jarrid Rector-Brooks · Kilian Fatras · Guy Wolf · Yoshua Bengio |
||
Workshop
|
Transportable Representations for Out-of-distribution Generalization Amirkasra Jalaldoust · Elias Bareinboim |
||
Workshop
|
Less-Energy-Usage Network with Batch Power Iteration Hao Huang · Tapan Shah · Shinjae Yoo · Scott Evans |
||
Workshop
|
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak · Kuniaki Saito · Theodoros Tsiligkaridis · Kate Saenko · Bryan Plummer |
||
Workshop
|
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz · Goutham Rajendran · Elan Rosenfeld · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar |
||
Workshop
|
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz · Goutham Rajendran · Elan Rosenfeld · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar |
||
Workshop
|
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz · Goutham Rajendran · Elan Rosenfeld · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar |
||
Workshop
|
Sat 14:50 |
InterSynth: a semi-synthetic framework for benchmarking prescriptive inference from observational data Dominic Giles · Robert Gray · Chris Foulon · Guilherme Pombo · Tianbo Xu · James K Ruffle · Rolf Jäger · Jorge Cardoso · Sebastien Ourselin · Geraint Rees · Ashwani Jha · Parashkev Nachev |
|
Workshop
|
Sat 13:30 |
On learning domain general predictors Sanmi Koyejo |
|
Workshop
|
Compositional Interfaces for Compositional Generalization Jelena Luketina · Jack Lanchantin · Sainbayar Sukhbaatar · Arthur Szlam |
||
Affinity Workshop
|
Mon 19:15 |
Studying Generalization on Memory-Based Methods in Continual Learning Felipe del Rio · Julio Hurtado · Cristian Calderon · Alvaro Soto · Vincenzo Lomonaco |
|
Workshop
|
Neural Image Compression: Generalization, Robustness, and Spectral Biases Kelsey Lieberman · James Diffenderfer · Charles Godfrey · Bhavya Kailkhura |