question stringclasses 1
value | subject stringclasses 1
value | choices listlengths 4 4 | answer class label 4
classes |
|---|---|---|---|
Predict which model least fits with the others | model_modality | [
"lda2vec",
"PermuteFormer",
"Hierarchical Style Disentanglement",
"Transformer in Transformer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Pathways Language Model",
"ResNeXt-Elastic",
"PixLoc",
"Attribute2Font"
] | 0A |
Predict which model least fits with the others | model_modality | [
"WaveGrad UBlock",
"BP-Transformer",
"Routing Attention",
"CharacterBERT"
] | 0A |
Predict which model least fits with the others | model_modality | [
"ConvBERT",
"High-Order Consensuses",
"OPT-IML",
"MT-PET"
] | 1B |
Predict which model least fits with the others | model_modality | [
"ALBEF",
"Recurrent Event Network",
"HS-ResNet",
"Inception-B"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Graph Neural Networks with Continual Learning",
"AlexNet",
"TaxoExpan",
"ARMA GNN"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Primal Wasserstein Imitation Learning",
"Four-dimensional A-star",
"SC-GPT",
"Double Q-learning"
] | 2C |
Predict which model least fits with the others | model_modality | [
"VGG",
"imGHUM",
"Graph Echo State Network",
"Topographic VAE"
] | 2C |
Predict which model least fits with the others | model_modality | [
"TD-Gammon",
"Quantum Process Tomography",
"Hybrid-deconvolution",
"Fisher-BRC"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Principal Neighbourhood Aggregation",
"Florence",
"ChebNet",
"Hi-LANDER"
] | 1B |
Predict which model least fits with the others | model_modality | [
"CheXNet",
"Gated Graph Sequence Neural Networks",
"Twins-PCPVT",
"Conditional Position Encoding Vision Transformer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Inverse Q-Learning",
"Prioritized Sweeping",
"Accumulating Eligibility Trace",
"Cross-encoder Reranking"
] | 3D |
Predict which model least fits with the others | model_modality | [
"CuBERT",
"Local Relation Network",
"LV-ViT",
"Circular Dilated Convolutional Neural Networks"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Universal Transformer",
"Random Gaussian Blur",
"AlexNet",
"Inception-ResNet-v2-A"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Bi-Directional Graph Convolutional Network",
"Graphic Mutual Information",
"Point-GNN",
"Shuffle Transformer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Deformable Kernel",
"Visual-Spatial-Graph Network",
"Conditional / Rectified flow matching",
"Forward-Looking Actor"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Go-Explore",
"UNet++",
"Adaptive Early-Learning Correction",
"Rank Flow Embedding"
] | 0A |
Predict which model least fits with the others | model_modality | [
"EMQAP",
"BLOOM",
"Selective Search",
"Gated Convolution Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"ResNeXt",
"CTRL",
"CornerNet-Squeeze Hourglass Module",
"HITNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Asynchronous Proximal Policy Optimization",
"Non Maximum Suppression",
"Squeeze aggregated excitation network",
"Feature Pyramid Network"
] | 0A |
Predict which model least fits with the others | model_modality | [
"OPT",
"TGAN",
"Extended Transformer Construction",
"TernaryBERT"
] | 1B |
Predict which model least fits with the others | model_modality | [
"CSPPeleeNet",
"The Ikshana Hypothesis of Human Scene Understanding Mechanism",
"CTRL",
"BiFPN"
] | 2C |
Predict which model least fits with the others | model_modality | [
"ConvMLP",
"Neural Cache",
"3-Augment",
"DIoU-NMS"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Generative Adversarial Transformer",
"Categorical Modularity",
"Pythia",
"CSPPeleeNet"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Local Patch Interaction",
"CenterPoint",
"GloVe Embeddings",
"InternVideo: General Video Foundation Models via Generative and Discriminative Learning"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Universal Transformer",
"Fawkes",
"Channel-wise Cross Fusion Transformer",
"Self-Attention Network"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Dilated Sliding Window Attention",
"Chinese Pre-trained Unbalanced Transformer",
"Pyramid Vision Transformer",
"Adaptive Span Transformer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"WaveGrad DBlock",
"PREDATOR",
"PSFR-GAN",
"RevNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"WaveGlow",
"ENet",
"ProxylessNet-Mobile",
"Blended Diffusion"
] | 0A |
Predict which model least fits with the others | model_modality | [
"R-CNN",
"High-Order Consensuses",
"IoU-guided NMS",
"Conditional Position Encoding Vision Transformer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Non-Local Operation",
"Darknet-19",
"Random Resized Crop",
"Mixture model network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Adversarial Latent Autoencoder",
"BigGAN",
"SimCSE",
"BasicVSR"
] | 2C |
Predict which model least fits with the others | model_modality | [
"ConvNeXt",
"ShuffleNet",
"Self-Supervised Motion Disentanglement",
"Cross-encoder Reranking"
] | 3D |
Predict which model least fits with the others | model_modality | [
"TransferQA",
"Adversarial Color Enhancement",
"Streaming Module",
"Efficient Spatial Pyramid"
] | 0A |
Predict which model least fits with the others | model_modality | [
"BP-Transformer",
"GridMask",
"MUSIQ",
"ATTEMPT THIS FATHINETUTE TO REPOPULATE ALREADY POPULATED SYSTEM"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Circular Dilated Convolutional Neural Networks",
"Point-GNN",
"Channel-wise Cross Fusion Transformer",
"DiffPool"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Phase Shuffle",
"DeepLabv3",
"Multiscale Dilated Convolution Block",
"EdgeBoxes"
] | 0A |
Predict which model least fits with the others | model_modality | [
"SongNet",
"DistilBERT",
"Sparse Convolutions",
"CharacterBERT"
] | 2C |
Predict which model least fits with the others | model_modality | [
"End-to-End Neural Diarization",
"2D Discrete Wavelet Transform",
"MDETR",
"DU-GAN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Switch Transformer",
"RevSilo",
"YOLOX",
"DiCENet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"LFPNet with test time augmentation",
"ProxylessNet-Mobile",
"MDETR",
"CodeT5"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Glow-TTS",
"WaveGAN",
"FastSpeech 2s",
"Stochastic Steady-state Embedding"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Pose-Appearance Disentangling",
"BigGAN-deep",
"Medical Entity Disambiguation using Graph Neural Networks",
"CornerNet-Squeeze Hourglass Module"
] | 2C |
Predict which model least fits with the others | model_modality | [
"MPRNet",
"Large-scale Information Network Embedding",
"Laplacian Positional Encodings",
"Network Embedding as Matrix Factorization:"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Hourglass Module",
"Anti-Alias Downsampling",
"SpineNet",
"PGC-DGCNN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"RetinaNet",
"IFNet",
"Discriminative and Generative Network",
"wav2vec Unsupervised"
] | 3D |
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