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Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Deconstructing the Regularization of BatchNorm
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Search Algorithms for Rank-Constrained Convex Optimization
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Dataset Meta-Learning from Kernel Ridge-Regression
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Position Embeddings in BERT
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Linear Last-iterate Convergence in Constrained Saddle-point Optimization
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Adversarial score matching and improved sampling for image generation
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Understanding and Improving Lexical Choice in Non-Autoregressive Translation
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Robust early-learning: Hindering the memorization of noisy labels
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Meta-Learning of Structured Task Distributions in Humans and Machines
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Differentially Private Learning Needs Better Features (or Much More Data)
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
A teacher-student framework to distill future trajectories
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Correcting experience replay for multi-agent communication
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Uncertainty in Gradient Boosting via Ensembles
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Initialization and Regularization of Factorized Neural Layers
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Domain-Robust Visual Imitation Learning with Mutual Information Constraints
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Enforcing robust control guarantees within neural network policies
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Noise or Signal: The Role of Image Backgrounds in Object Recognition
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Hierarchical Reinforcement Learning by Discovering Intrinsic Options
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Contrastive Learning with Hard Negative Samples
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
CaPC Learning: Confidential and Private Collaborative Learning
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
PMI-Masking: Principled masking of correlated spans
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Lifelong Learning of Compositional Structures
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
A Critique of Self-Expressive Deep Subspace Clustering
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Learning to Recombine and Resample Data For Compositional Generalization
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Coarsening with Neural Networks
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
EEC: Learning to Encode and Regenerate Images for Continual Learning
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Improving VAEs' Robustness to Adversarial Attack
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dynamic Tensor Rematerialization
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Meta-learning with negative learning rates
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Learning to Set Waypoints for Audio-Visual Navigation
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Deep Networks and the Multiple Manifold Problem
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT) @ Virtual
Integrating Categorical Semantics into Unsupervised Domain Translation
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
C-Learning: Learning to Achieve Goals via Recursive Classification
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
[ Paper ]
Poster
Thu May 06 09:00 AM -- 11:00 AM (PDT)
Cut out the annotator, keep the cutout: better segmentation with weak supervision
[ Paper ]