SPARSE AND CONTINUOUS ATTENTION MECHANISMS
|
2021 |
Martins, André |
GENERALIZED FOCAL LOSS: LEARNING QUALIFIED AND DISTRIBUTED BOUNDING BOXES FOR DENSE OBJECT DETECTION
|
2021 |
Li, Xiang |
SELF-TRAINING AVOIDS USING SPURIOUS FEATURES UNDER DOMAIN SHIFT
|
2021 |
Chen, Yining |
REGRET IN ONLINE RECOMMENDATION SYSTEMS
|
2021 |
Ariu, Kaito |
QUANTIFYING THE EMPIRICAL WASSERSTEIN DISTANCE TO A SET OF MEASURES: BEATING THE CURSE OF DIMENSIONALITY
|
2021 |
Si, Nian |
BOOTSTRAP YOUR OWN LATENT - A NEW APPROACH TO SELF-SUPERVISED LEARNING
|
2021 |
Grill, Jean-Bastien |
EFFICIENT CLUSTERING FOR STRETCHED MIXTURES: LANDSCAPE AND OPTIMALITY
|
2021 |
Wang, Kaizheng |
THE STATISTICAL COST OF ROBUST KERNEL HYPERPARAMETER TURNING
|
2021 |
Meyer, Raphael |
A TOPOLOGICAL FILTER FOR LEARNING WITH LABEL NOISE
|
2021 |
Wu, Pengxiang |
A NOVEL VARIATIONAL FORM OF THE SCHATTEN-P QUASI-NORM
|
2021 |
Giampouras, Paris |
BOTORCH: A FRAMEWORK FOR EFFICIENT MONTE-CARLO BAYESIAN OPTIMIZATION
|
2021 |
Balandat, Maximilian |
ROBUST FEDERATED LEARNING: THE CASE OF AFFINE DISTRIBUTION SHIFTS
|
2021 |
Reisizadeh, Amirhossein |
GENERATING ADJACENCY-CONSTRAINED SUBGOALS IN HIERARCHICAL REINFORCEMENT LEARNING
|
2021 |
Zhang, Tianren |
NOT ALL UNLABELED DATA ARE EQUAL: LEARNING TO WEIGHT DATA IN SEMISUPERVISED LEARNING
|
2021 |
Ren, Zhongzheng |
HARD NEGATIVE MIXING FOR CONTRASTIVE LEARNING
|
2021 |
Kalantidis, Yannis |
FAIR HIERARCHICAL CLUSTERING
|
2021 |
Ahmadian, Sara |
ROBUST DEEP REINFORCEMENT LEARNING AGAINST ADVERSARIAL PERTURBATIONS ON STATE OBSERVATIONS
|
2021 |
Zhang, Huan |
CIRCLEGAN: GENERATIVE ADVERSARIAL LEARNING ACROSS SPHERICAL CIRCLES
|
2021 |
Shim, Woohyeon |
WOR AND P'S: SKETCHES FOR LP-SAMPLING WITHOUT REPLACEMENT
|
2021 |
Cohen, Edith |
LOG-LIKELIHOOD RATIO MINIMIZING FLOWS: TOWARDS ROBUST AND QUANTIFIABLE NEURAL DISTRIBUTION ALIGNMENT
|
2021 |
Usman, Ben |