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 |
MATRIX COMPLETION WITH QUANTIFIED UNCERTAINTY THROUGH LOW RANK GAUSSIAN COPULA
|
2021 |
Zhao, Yuxuan |
LEARNING BY MINIMIZING THE SUM OF RANKED RANGE
|
2021 |
Hu, Shu |
ESCAPING THE GRAVITATIONAL PULL OF SOFTMAX
|
2021 |
Mei, Jincheng |
POMO: POLICY OPTIMIZATION WITH MULTIPLE OPTIMA FOR REINFORCEMENT LEARNING
|
2021 |
Kwon, Yeong-Dae |
LEARNING TO LEARN WITH FEEDBACK AND LOCAL PLASTICITY
|
2021 |
Lindsey, Jack |