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Papers
Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection
EMNLP 2024
NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach
ACL 2024
Online Continuous Generalized Category Discovery
ECCV 2024
Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation
WACV 2024
Provable Contrastive Continual Learning
ICML 2024
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
ICLR 2024
Revisiting Supervised Contrastive Learning for Microblog Classification
EMNLP 2024
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning
AAAI 2024
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
ICML 2024
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
ICML 2024
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
ICML 2024
TriCoLo: Trimodal Contrastive Loss for Text To Shape Retrieval
WACV 2024
Understanding Hyperbolic Metric Learning Through Hard Negative Sampling
WACV 2024
What Do Language Models Hear? Probing for Auditory Representations in Language Models
ACL 2024
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
NeurIPS 2023
CLIPPO: Image-and-Language Understanding From Pixels Only
CVPR 2023
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
CVPR 2023
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
WACV 2023
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines
ACL 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
ICCV 2023
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
CVPR 2023
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
NeurIPS 2023
Do Invariances in Deep Neural Networks Align with Human Perception?
AAAI 2023
Domain Decorrelation with Potential Energy Ranking
AAAI 2023
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data
ACL 2023