| SCD: Self-Contrastive Decorrelation for Sentence Embeddings | 0 | 0.34 | 2022 |
| Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. | 0 | 0.34 | 2021 |
| Attention-based Contrastive Learning for Winograd Schemas. | 0 | 0.34 | 2021 |
| Multimodal Self-Supervised Learning for Medical Image Analysis | 1 | 0.37 | 2021 |
| Multimodal Prototypical Networks For Few-Shot Learning | 0 | 0.34 | 2021 |
| EaSe: A Diagnostic Tool for VQA based on Answer Diversity | 0 | 0.34 | 2021 |
| Contrastive Self-Supervised Learning for Commonsense Reasoning | 0 | 0.34 | 2020 |
| Human-Machine Collaboration for Medical Image Segmentation | 1 | 0.35 | 2020 |
| Budget-Aware Adapters for Multi-Domain Learning | 1 | 0.36 | 2019 |
| Self Paced Deep Learning for Weakly Supervised Object Detection. | 15 | 0.62 | 2019 |
| Learning To Remember: A Synaptic Plasticity Driven Framework For Continual Learning | 9 | 0.50 | 2019 |
| Self-Paced Adversarial Training for Multimodal Few-Shot Learning | 0 | 0.34 | 2019 |
| Low-Shot Learning from Imaginary 3D Model. | 1 | 0.36 | 2019 |
| Prune Your Neurons Blindly: Neural Network Compression Through Structured Class-Blind Pruning | 0 | 0.34 | 2019 |
| Training Adversarial Discriminators For Cross-Channel Abnormal Event Detection In Crowds | 9 | 0.44 | 2019 |
| Self Paced Adversarial Training for Multimodal Few-shot Learning. | 0 | 0.34 | 2018 |
| Plug-And-Play Cnn For Crowd Motion Analysis: An Application In Abnormal Event Detection | 13 | 0.59 | 2018 |
| Discriminative Hallucination for Multi-Modal Few-Shot Learning | 1 | 0.35 | 2018 |
| Detection and localization of crowd behavior using a novel tracklet-based model. | 4 | 0.38 | 2018 |
| Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets | 2 | 0.35 | 2018 |
| The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. | 0 | 0.34 | 2018 |
| Cross-modal Hallucination for Few-shot Fine-grained Recognition. | 0 | 0.34 | 2018 |
| Foil It! Find One Mismatch Between Image And Language Caption | 1 | 0.40 | 2017 |
| Differentially Private Federated Learning: A Client Level Perspective. | 16 | 0.77 | 2017 |
| Abnormal Event Detection In Videos Using Generative Adversarial Nets | 23 | 0.72 | 2017 |
| Vision and Language Integration: Moving beyond Objects. | 0 | 0.34 | 2017 |
| Self-Crowdsourcing Training For Relation Extraction | 4 | 0.41 | 2017 |
| Autonomous Crowdsourcing through Human-Machine Collaborative Learning | 1 | 0.36 | 2017 |
| Efficient Convolutional Neural Network with Binary Quantization Layer. | 0 | 0.34 | 2016 |
| Emotion-Based Crowd Representation for Abnormality Detection. | 4 | 0.39 | 2016 |
| Novel dataset for fine-grained abnormal behavior understanding in crowd | 7 | 0.50 | 2016 |
| Mid-level Representation for Visual Recognition. | 0 | 0.34 | 2015 |
| Abnormality Detection With Improved Histogram Of Oriented Tracklets | 11 | 0.55 | 2015 |
| Temporal Poselets for Collective Activity Detection and Recognition | 10 | 0.51 | 2013 |
