Split (2)

train · 946 rows

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	[ "Experience Replay", "DIoU-NMS", "Unified VLP", "MoGA-B" ]	0A
Predict which model least fits with the others	model_modality	[ "RESCAL with Relation Prediction", "Vulnerability-constrained Decoding", "Adaptively Sparse Transformer", "BLANC" ]	0A
Predict which model least fits with the others	model_modality	[ "CodeBERT", "Average Pooling", "Continuous Kernel Convolution", "AlexNet" ]	0A
Predict which model least fits with the others	model_modality	[ "CLIPort", "Eligibility Trace", "TD-Gammon", "DiCE Unit" ]	3D
Predict which model least fits with the others	model_modality	[ "GBST", "SuperpixelGridCut, SuperpixelGridMean, SuperpixelGridMix", "Visual Parsing", "MobileDet" ]	0A
Predict which model least fits with the others	model_modality	[ "Weighted Recurrent Quality Enhancement", "MobileViT", "CP with N3 Regularizer and Relation Prediction", "CutBlur" ]	2C
Predict which model least fits with the others	model_modality	[ "Packed Levitated Markers", "Pathways Language Model", "Attention Mesh", "Inverted Bottleneck BERT" ]	2C
Predict which model least fits with the others	model_modality	[ "Neural Attention Fields", "Pathways Language Model", "Social-STGCNN", "TrIVD-GAN" ]	1B
Predict which model least fits with the others	model_modality	[ "Active Convolution", "Differentiable Digital Signal Processing", "Strip Pooling", "Mutual Guidance" ]	1B
Predict which model least fits with the others	model_modality	[ "ResNeSt", "Relativistic GAN", "Double DQN", "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video" ]	2C
Predict which model least fits with the others	model_modality	[ "Models Genesis", "AlterNet", "Routing Attention", "Deep Residual Pansharpening Neural Network" ]	2C
Predict which model least fits with the others	model_modality	[ "Graph InfoClust", "Hi-LANDER", "Knowledge Graph Refiner", "Invertible NxN Convolution" ]	3D
Predict which model least fits with the others	model_modality	[ "Depthwise Dilated Separable Convolution", "Conditional Position Encoding Vision Transformer", "UCNet", "Residual Shuffle-Exchange Network" ]	3D
Predict which model least fits with the others	model_modality	[ "SC-GPT", "Channel-wise Cross Fusion Transformer", "InternVideo: General Video Foundation Models via Generative and Discriminative Learning", "Meta Face Recognition" ]	0A
Predict which model least fits with the others	model_modality	[ "Contrastive BERT", "Blue River Controls", "Stein Variational Policy Gradient", "DeepLab" ]	3D
Predict which model least fits with the others	model_modality	[ "(2+1)D Convolution", "MPRNet", "DeBERTa", "XCiT" ]	2C
Predict which model least fits with the others	model_modality	[ "Residual Multi-Layer Perceptrons", "Strain Elevation Tension Spring embedding", "Deep Graph Infomax", "Hi-LANDER" ]	0A
Predict which model least fits with the others	model_modality	[ "ShuffleNet v2", "Patch AutoAugment", "Multiplex Molecular Graph Neural Network", "Object Dropout" ]	2C
Predict which model least fits with the others	model_modality	[ "MultiGrain", "Stacked Denoising Autoencoder", "MobileBERT", "E-MBConv" ]	2C
Predict which model least fits with the others	model_modality	[ "SqueezeNet", "CP with N3 Regularizer and Relation Prediction", "PGC-DGCNN", "Wasserstein Embedding for Graph Learning" ]	0A
Predict which model least fits with the others	model_modality	[ "BP-Transformer", "DeltaConv", "ResNet-RS", "Invertible Rescaling Network" ]	0A
Predict which model least fits with the others	model_modality	[ "Graph Attention Network v2", "DetNet", "Confidence Intervals for Diffusion Models", "Inception-v4" ]	0A
Predict which model least fits with the others	model_modality	[ "RealFormer", "PCA Whitening", "Fixed Factorized Attention", "DeLighT" ]	1B
Predict which model least fits with the others	model_modality	[ "Learning Cross-Modality Encoder Representations from Transformers", "Hierarchical Transferability Calibration Network", "Phase Shuffle", "PCA Whitening" ]	2C
Predict which model least fits with the others	model_modality	[ "Generative Emotion Estimator", "Adaptive Input Representations", "Temporal Word Embeddings with a Compass", "Graph Representation with Global structure" ]	3D
Predict which model least fits with the others	model_modality	[ "Object Dropout", "Epsilon Greedy Exploration", "SCNet", "Panoptic FPN" ]	1B
Predict which model least fits with the others	model_modality	[ "Phase Shuffle", "VERtex Similarity Embeddings", "Multi-band MelGAN", "WaveGlow" ]	1B
Predict which model least fits with the others	model_modality	[ "RFB Net", "Spherical Graph Convolutional Network", "MobileNetV1", "Scale Aggregation Block" ]	1B
Predict which model least fits with the others	model_modality	[ "Hybrid-deconvolution", "Hierarchical Style Disentanglement", "Performer", "Batchboost" ]	2C
Predict which model least fits with the others	model_modality	[ "CSPPeleeNet", "Ape-X DPG", "TResNet", "MPRNet" ]	1B
Predict which model least fits with the others	model_modality	[ "Network Embedding as Matrix Factorization:", "Contrastive Language-Image Pre-training", "RPM-Net", "SCNet" ]	0A
Predict which model least fits with the others	model_modality	[ "XGPT", "Continuous Kernel Convolution", "Graph Attention Network v2", "ZoomNet" ]	2C
Predict which model least fits with the others	model_modality	[ "Phase Shuffle", "Inception Module", "WaveGrad UBlock", "Separate And Diffuse" ]	1B
Predict which model least fits with the others	model_modality	[ "Dynamic R-CNN", "Capsule Network", "Wasserstein GAN (Gradient Penalty)", "CP with N3 Regularizer" ]	3D
Predict which model least fits with the others	model_modality	[ "GPT-Neo", "Review-guided Answer Helpfulness Prediction", "HiFi-GAN", "GPT-NeoX" ]	2C
Predict which model least fits with the others	model_modality	[ "Fragmentation", "Hierarchical Feature Fusion", "Packed Levitated Markers", "TinaFace" ]	2C
Predict which model least fits with the others	model_modality	[ "Deformable Convolution", "Wasserstein Embedding for Graph Learning", "TaxoExpan", "Deep Graph Convolutional Neural Network" ]	0A
Predict which model least fits with the others	model_modality	[ "Random Resized Crop", "Progressively Growing GAN", "PSPNet", "ELECTRA" ]	3D
Predict which model least fits with the others	model_modality	[ "Video Language Graph Matching Network", "PointQuad-Transformer", "Random Horizontal Flip", "BERT" ]	3D
Predict which model least fits with the others	model_modality	[ "Gated Graph Sequence Neural Networks", "UL2", "Directed Acyclic Graph Neural Network", "Automated Graph Learning" ]	1B
Predict which model least fits with the others	model_modality	[ "YOLOP", "Expected Sarsa", "Inception v2", "CoordConv" ]	1B
Predict which model least fits with the others	model_modality	[ "BigGAN-deep", "IoU-guided NMS", "Noise2Fast", "GloVe Embeddings" ]	3D
Predict which model least fits with the others	model_modality	[ "PAFPN", "Feature Fusion Module v2", "Table Pre-training via Execution", "Deformable Convolution" ]	2C
Predict which model least fits with the others	model_modality	[ "BiGG", "GeniePath", "Hierarchical Entity Graph Convolutional Network", "GreedyNAS-C" ]	3D
Predict which model least fits with the others	model_modality	[ "Fastformer", "ResNeXt-Elastic", "CheXNet", "Cascade R-CNN" ]	0A
Predict which model least fits with the others	model_modality	[ "EfficientNetV2", "RandAugment", "Dilated Sliding Window Attention", "Deep Stereo Geometry Network" ]	2C
Predict which model least fits with the others	model_modality	[ "GFP-GAN", "Adaptive Early-Learning Correction", "Negative Face Recognition", "Dual Graph Convolutional Networks" ]	3D
Predict which model least fits with the others	model_modality	[ "Expected Sarsa", "Hi-LANDER", "Directed Acyclic Graph Neural Network", "Gated Attention Networks" ]	0A
Predict which model least fits with the others	model_modality	[ "MuVER", "Macaw", "Parsing Incrementally for Constrained Auto-Regressive Decoding", "ResNet-D" ]	3D
Predict which model least fits with the others	model_modality	[ "RESCAL", "Medical Entity Disambiguation using Graph Neural Networks", "Paddle Anchor Free Network", "Spectral Gap Rewiring Layer" ]	2C
Predict which model least fits with the others	model_modality	[ "MacBERT", "Neural Radiance Field", "DeLighT", "Skim and Intensive Reading Model" ]	1B
Predict which model least fits with the others	model_modality	[ "BiGG", "MinCut Pooling", "Spectral Gap Rewiring Layer", "RandAugment" ]	3D
Predict which model least fits with the others	model_modality	[ "Hierarchical Transferability Calibration Network", "Knowledge Graph Refiner", "Pix2Pix", "Receptive Field Block" ]	1B
Predict which model least fits with the others	model_modality	[ "Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning", "node2vec", "Commute Times Layer", "Switchable Atrous Convolution" ]	3D
Predict which model least fits with the others	model_modality	[ "Probabilistic Anchor Assignment", "GPT-3", "FSAF", "CAMoE" ]	1B
Predict which model least fits with the others	model_modality	[ "DIoU-NMS", "Compressive Transformer", "Difference of Gaussian Random Forest", "LSGAN" ]	1B
Predict which model least fits with the others	model_modality	[ "Double Deep Q-Learning", "Deep Graph Convolutional Neural Network", "Epsilon Greedy Exploration", "Twin Delayed Deep Deterministic" ]	1B
Predict which model least fits with the others	model_modality	[ "Large-scale Information Network Embedding", "LV-ViT", "Canonical Tensor Decomposition with N3 Regularizer", "Mixture model network" ]	1B
Predict which model least fits with the others	model_modality	[ "EMQAP", "k-Sparse Autoencoder", "K-Net", "MagFace" ]	0A
Predict which model least fits with the others	model_modality	[ "GFP-GAN", "MelGAN", "WaveNet", "Bridge-net" ]	0A
Predict which model least fits with the others	model_modality	[ "Pansharpening by convolutional neural networks in the full resolution framework", "Siamese Multi-depth Transformer-based Hierarchical Encoder", "Vision-and-Langauge Transformer", "Xception" ]	1B
Predict which model least fits with the others	model_modality	[ "IFNet", "BiSeNet V2", "Random Ensemble Mixture", "AmoebaNet" ]	2C
Predict which model least fits with the others	model_modality	[ "RPDet", "Spatial Feature Transform", "N-step Returns", "imGHUM" ]	2C
Predict which model least fits with the others	model_modality	[ "Poly-CAM", "Glow-TTS", "ThunderNet", "DAFNe" ]	1B
Predict which model least fits with the others	model_modality	[ "TaxoExpan", "Atrous Spatial Pyramid Pooling", "Introspective Adversarial Network", "StyleSwin: Transformer-based GAN for High-resolution Image Generation" ]	0A
Predict which model least fits with the others	model_modality	[ "Self-Attention Network", "Local Relation Network", "CornerNet-Squeeze Hourglass Module", "NoisyNet-A3C" ]	3D
Predict which model least fits with the others	model_modality	[ "Compressive Transformer", "2D Discrete Wavelet Transform", "Spatial Group-wise Enhance", "Diffusion" ]	0A
Predict which model least fits with the others	model_modality	[ "Style-based Recalibration Module", "CDCC-NET", "Spatial Pyramid Pooling", "Enhanced Seq2Seq Autoencoder via Contrastive Learning" ]	3D
Predict which model least fits with the others	model_modality	[ "PAUSE", "PLATO-2", "Focal Transformers", "BLOOM" ]	2C
Predict which model least fits with the others	model_modality	[ "TinaFace", "CubeRE", "Adaptive Bezier-Curve Network", "Reduction-A" ]	1B
Predict which model least fits with the others	model_modality	[ "RESCAL with Relation Prediction", "Graph Finite-State Automaton", "node2vec", "HITNet" ]	3D
Predict which model least fits with the others	model_modality	[ "GFP-GAN", "Style Transfer Module", "Encoder-Decoder model with local and pairwise loss along with shared encoder and discriminator network (EDLPS)", "PP-YOLOv2" ]	2C
Predict which model least fits with the others	model_modality	[ "GPT-Neo", "Adversarially Learned Inference", "Darknet-53", "Spatial Transformer" ]	0A
Predict which model least fits with the others	model_modality	[ "Routing Attention", "Dense Prediction Transformer", "Deformable Position-Sensitive RoI Pooling", "Guided Anchoring" ]	0A
Predict which model least fits with the others	model_modality	[ "Assemble-ResNet", "Inception-v3 Module", "Graph InfoClust", "EfficientNetV2" ]	2C
Predict which model least fits with the others	model_modality	[ "ACER", "3D Dynamic Scene Graph", "TD Lambda", "Distributed Distributional DDPG" ]	1B
Predict which model least fits with the others	model_modality	[ "Batchboost", "TopK Copy", "Voxel R-CNN", "Adaptively Spatial Feature Fusion" ]	1B
Predict which model least fits with the others	model_modality	[ "Stein Variational Policy Gradient", "Global Convolutional Network", "Style Transfer Module", "FBNet" ]	0A
Predict which model least fits with the others	model_modality	[ "Spatial Feature Transform", "Ape-X DQN", "Distributed Distributional DDPG", "MADDPG" ]	0A
Predict which model least fits with the others	model_modality	[ "Patch Merger Module", "SC-GPT", "Conditional Relation Network", "YOLOv1" ]	1B
Predict which model least fits with the others	model_modality	[ "Subformer", "Performer", "NAS-FCOS", "Electric" ]	2C
Predict which model least fits with the others	model_modality	[ "Feature Fusion Module v2", "Tokens-To-Token Vision Transformer", "Accumulating Eligibility Trace", "Keypoint Pose Encoding" ]	2C
Predict which model least fits with the others	model_modality	[ "Firefly algorithm", "PixelCNN", "Invertible NxN Convolution", "Color Jitter" ]	0A
Predict which model least fits with the others	model_modality	[ "RoBERTa", "Graph Echo State Network", "Table Pre-training via Execution", "Strided Attention" ]	1B
Predict which model least fits with the others	model_modality	[ "Dutch Eligibility Trace", "Detection Transformer", "Inception-ResNet-v2", "EmbraceNet: A robust deep learning architecture for multimodal classification" ]	0A
Predict which model least fits with the others	model_modality	[ "GPT-4", "Approximating Spatiotemporal Representations Using a 2DCNN", "Inception-ResNet-v2-A", "Deformable Kernel" ]	0A
Predict which model least fits with the others	model_modality	[ "Levenshtein Transformer", "EfficientNetV2", "SegFormer", "Difference of Gaussian Random Forest" ]	0A
Predict which model least fits with the others	model_modality	[ "WaveNet", "Harm-Net", "Deformable Kernel", "FFB6D" ]	0A
Predict which model least fits with the others	model_modality	[ "Inception v2", "Deformable DETR", "FastSGT", "RoIWarp" ]	2C
Predict which model least fits with the others	model_modality	[ "BRepNet", "k-Sparse Autoencoder", "Watch Your Step", "Single-Shot Multi-Object Tracker" ]	2C
Predict which model least fits with the others	model_modality	[ "BiGG", "WaveGAN", "Beneš Block with Residual Switch Units", "Tacotron2" ]	0A
Predict which model least fits with the others	model_modality	[ "EsViT", "XCiT", "DeltaConv", "Deep Graph Infomax" ]	3D
Predict which model least fits with the others	model_modality	[ "MuZero", "Dense Prediction Transformer", "Ape-X DPG", "Prioritized Sweeping" ]	1B
Predict which model least fits with the others	model_modality	[ "FastPitch", "Conditional Convolutions for Instance Segmentation", "PP-YOLOv2", "AltDiffusion" ]	0A
Predict which model least fits with the others	model_modality	[ "Partition Filter Network", "Residual Network", "Hue — Bi-Dimensional Empirical Mode Decomposition", "Visual Geometry Group 19 Layer CNN" ]	0A
Predict which model least fits with the others	model_modality	[ "Dual Graph Convolutional Networks", "Bi-Directional Graph Convolutional Network", "Learnable graph convolutional layer", "Global Average Pooling" ]	3D
Predict which model least fits with the others	model_modality	[ "Panoptic FPN", "Fragmentation", "Deformable Position-Sensitive RoI Pooling", "OPT-IML" ]	3D
Predict which model least fits with the others	model_modality	[ "Voxel Transformer", "lda2vec", "RoIWarp", "Sparse Convolutions" ]	1B
Predict which model least fits with the others	model_modality	[ "RegNetX", "Dynamic Keypoint Head", "TrIVD-GAN", "Temporal Graph Network" ]	3D
Predict which model least fits with the others	model_modality	[ "Deep Q-Network", "Visual Parsing", "H3DNet", "SegFormer" ]	0A

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